Zipf0 New Model Test Data Result Combined
Result
Model Summaries
| Model | Better than base % of the times |
|---|---|
| LR_10[cache_size=0.001,treshold=0.3] | 0 |
| LR_10[cache_size=0.001,treshold=0.5] | 0 |
| LR_10[cache_size=0.001,treshold=0.6] | 0 |
| LR_10[cache_size=0.001,treshold=0.7] | 0 |
| LR_10[cache_size=0.001,treshold=0.8] | 0 |
| LR_10[cache_size=0.001,treshold=0.9] | 0 |
| LR_10[cache_size=All,treshold=0.3] | 60 |
| LR_10[cache_size=All,treshold=0.5] | 52 |
| LR_10[cache_size=All,treshold=0.6] | 32 |
| LR_10[cache_size=All,treshold=0.7] | 32 |
| LR_10[cache_size=All,treshold=0.8] | 28 |
| LR_10[cache_size=All,treshold=0.9] | 4 |
| LR_11[cache_size=0.001,treshold=0.3] | 0 |
| LR_11[cache_size=0.001,treshold=0.5] | 0 |
| LR_11[cache_size=0.001,treshold=0.6] | 0 |
| LR_11[cache_size=0.001,treshold=0.7] | 0 |
| LR_11[cache_size=0.001,treshold=0.8] | 0 |
| LR_11[cache_size=0.001,treshold=0.9] | 0 |
| LR_11[cache_size=All,treshold=0.3] | 60 |
| LR_11[cache_size=All,treshold=0.5] | 48 |
| LR_11[cache_size=All,treshold=0.6] | 32 |
| LR_11[cache_size=All,treshold=0.7] | 36 |
| LR_11[cache_size=All,treshold=0.8] | 28 |
| LR_11[cache_size=All,treshold=0.9] | 4 |
| LR_12[cache_size=0.001,treshold=0.3] | 0 |
| LR_12[cache_size=0.001,treshold=0.5] | 0 |
| LR_12[cache_size=0.001,treshold=0.6] | 0 |
| LR_12[cache_size=0.001,treshold=0.7] | 0 |
| LR_12[cache_size=0.001,treshold=0.8] | 0 |
| LR_12[cache_size=0.001,treshold=0.9] | 0 |
| LR_12[cache_size=All,treshold=0.3] | 64 |
| LR_12[cache_size=All,treshold=0.5] | 48 |
| LR_12[cache_size=All,treshold=0.6] | 32 |
| LR_12[cache_size=All,treshold=0.7] | 36 |
| LR_12[cache_size=All,treshold=0.8] | 32 |
| LR_12[cache_size=All,treshold=0.9] | 4 |
| LR_13[cache_size=0.001,treshold=0.3] | 0 |
| LR_13[cache_size=0.001,treshold=0.5] | 0 |
| LR_13[cache_size=0.001,treshold=0.6] | 0 |
| LR_13[cache_size=0.001,treshold=0.7] | 0 |
| LR_13[cache_size=0.001,treshold=0.8] | 0 |
| LR_13[cache_size=0.001,treshold=0.9] | 0 |
| LR_13[cache_size=All,treshold=0.3] | 60 |
| LR_13[cache_size=All,treshold=0.5] | 28 |
| LR_13[cache_size=All,treshold=0.6] | 16 |
| LR_13[cache_size=All,treshold=0.7] | 0 |
| LR_13[cache_size=All,treshold=0.8] | 0 |
| LR_13[cache_size=All,treshold=0.9] | 0 |
| LR_14[cache_size=0.001,treshold=0.3] | 0 |
| LR_14[cache_size=0.001,treshold=0.5] | 0 |
| LR_14[cache_size=0.001,treshold=0.6] | 0 |
| LR_14[cache_size=0.001,treshold=0.7] | 0 |
| LR_14[cache_size=0.001,treshold=0.8] | 0 |
| LR_14[cache_size=0.001,treshold=0.9] | 0 |
| LR_14[cache_size=All,treshold=0.3] | 60 |
| LR_14[cache_size=All,treshold=0.5] | 28 |
| LR_14[cache_size=All,treshold=0.6] | 16 |
| LR_14[cache_size=All,treshold=0.7] | 0 |
| LR_14[cache_size=All,treshold=0.8] | 0 |
| LR_14[cache_size=All,treshold=0.9] | 0 |
| LR_15[cache_size=0.001,treshold=0.3] | 0 |
| LR_15[cache_size=0.001,treshold=0.5] | 0 |
| LR_15[cache_size=0.001,treshold=0.6] | 0 |
| LR_15[cache_size=0.001,treshold=0.7] | 0 |
| LR_15[cache_size=0.001,treshold=0.8] | 0 |
| LR_15[cache_size=0.001,treshold=0.9] | 0 |
| LR_15[cache_size=All,treshold=0.3] | 60 |
| LR_15[cache_size=All,treshold=0.5] | 28 |
| LR_15[cache_size=All,treshold=0.6] | 16 |
| LR_15[cache_size=All,treshold=0.7] | 0 |
| LR_15[cache_size=All,treshold=0.8] | 0 |
| LR_15[cache_size=All,treshold=0.9] | 0 |
| LR_7[cache_size=0.001,treshold=0.3] | 0 |
| LR_7[cache_size=0.001,treshold=0.5] | 0 |
| LR_7[cache_size=0.001,treshold=0.6] | 0 |
| LR_7[cache_size=0.001,treshold=0.7] | 0 |
| LR_7[cache_size=0.001,treshold=0.8] | 0 |
| LR_7[cache_size=0.001,treshold=0.9] | 0 |
| LR_7[cache_size=All,treshold=0.3] | 60 |
| LR_7[cache_size=All,treshold=0.5] | 52 |
| LR_7[cache_size=All,treshold=0.6] | 48 |
| LR_7[cache_size=All,treshold=0.7] | 36 |
| LR_7[cache_size=All,treshold=0.8] | 44 |
| LR_7[cache_size=All,treshold=0.9] | 16 |
| LR_8[cache_size=0.001,treshold=0.3] | 0 |
| LR_8[cache_size=0.001,treshold=0.5] | 0 |
| LR_8[cache_size=0.001,treshold=0.6] | 0 |
| LR_8[cache_size=0.001,treshold=0.7] | 0 |
| LR_8[cache_size=0.001,treshold=0.8] | 0 |
| LR_8[cache_size=0.001,treshold=0.9] | 0 |
| LR_8[cache_size=All,treshold=0.3] | 60 |
| LR_8[cache_size=All,treshold=0.5] | 52 |
| LR_8[cache_size=All,treshold=0.6] | 36 |
| LR_8[cache_size=All,treshold=0.7] | 36 |
| LR_8[cache_size=All,treshold=0.8] | 40 |
| LR_8[cache_size=All,treshold=0.9] | 12 |
| LR_9[cache_size=0.001,treshold=0.3] | 0 |
| LR_9[cache_size=0.001,treshold=0.5] | 0 |
| LR_9[cache_size=0.001,treshold=0.6] | 0 |
| LR_9[cache_size=0.001,treshold=0.7] | 0 |
| LR_9[cache_size=0.001,treshold=0.8] | 0 |
| LR_9[cache_size=0.001,treshold=0.9] | 0 |
| LR_9[cache_size=All,treshold=0.3] | 60 |
| LR_9[cache_size=All,treshold=0.5] | 52 |
| LR_9[cache_size=All,treshold=0.6] | 44 |
| LR_9[cache_size=All,treshold=0.7] | 36 |
| LR_9[cache_size=All,treshold=0.8] | 40 |
| LR_9[cache_size=All,treshold=0.9] | 16 |
| LR_10[cache_size=0.01,treshold=0.3] | 80 |
| LR_10[cache_size=0.01,treshold=0.5] | 80 |
| LR_10[cache_size=0.01,treshold=0.6] | 80 |
| LR_10[cache_size=0.01,treshold=0.7] | 0 |
| LR_10[cache_size=0.01,treshold=0.8] | 0 |
| LR_10[cache_size=0.01,treshold=0.9] | 0 |
| LR_11[cache_size=0.01,treshold=0.3] | 80 |
| LR_11[cache_size=0.01,treshold=0.5] | 60 |
| LR_11[cache_size=0.01,treshold=0.6] | 60 |
| LR_11[cache_size=0.01,treshold=0.7] | 40 |
| LR_11[cache_size=0.01,treshold=0.8] | 0 |
| LR_11[cache_size=0.01,treshold=0.9] | 0 |
| LR_12[cache_size=0.01,treshold=0.3] | 80 |
| LR_12[cache_size=0.01,treshold=0.5] | 60 |
| LR_12[cache_size=0.01,treshold=0.6] | 60 |
| LR_12[cache_size=0.01,treshold=0.7] | 40 |
| LR_12[cache_size=0.01,treshold=0.8] | 0 |
| LR_12[cache_size=0.01,treshold=0.9] | 0 |
| LR_13[cache_size=0.01,treshold=0.3] | 80 |
| LR_13[cache_size=0.01,treshold=0.5] | 80 |
| LR_13[cache_size=0.01,treshold=0.6] | 80 |
| LR_13[cache_size=0.01,treshold=0.7] | 0 |
| LR_13[cache_size=0.01,treshold=0.8] | 0 |
| LR_13[cache_size=0.01,treshold=0.9] | 0 |
| LR_14[cache_size=0.01,treshold=0.3] | 80 |
| LR_14[cache_size=0.01,treshold=0.5] | 60 |
| LR_14[cache_size=0.01,treshold=0.6] | 60 |
| LR_14[cache_size=0.01,treshold=0.7] | 80 |
| LR_14[cache_size=0.01,treshold=0.8] | 0 |
| LR_14[cache_size=0.01,treshold=0.9] | 0 |
| LR_15[cache_size=0.01,treshold=0.3] | 80 |
| LR_15[cache_size=0.01,treshold=0.5] | 60 |
| LR_15[cache_size=0.01,treshold=0.6] | 60 |
| LR_15[cache_size=0.01,treshold=0.7] | 80 |
| LR_15[cache_size=0.01,treshold=0.8] | 0 |
| LR_15[cache_size=0.01,treshold=0.9] | 0 |
| LR_7[cache_size=0.01,treshold=0.3] | 80 |
| LR_7[cache_size=0.01,treshold=0.5] | 80 |
| LR_7[cache_size=0.01,treshold=0.6] | 80 |
| LR_7[cache_size=0.01,treshold=0.7] | 0 |
| LR_7[cache_size=0.01,treshold=0.8] | 0 |
| LR_7[cache_size=0.01,treshold=0.9] | 0 |
| LR_8[cache_size=0.01,treshold=0.3] | 80 |
| LR_8[cache_size=0.01,treshold=0.5] | 80 |
| LR_8[cache_size=0.01,treshold=0.6] | 60 |
| LR_8[cache_size=0.01,treshold=0.7] | 60 |
| LR_8[cache_size=0.01,treshold=0.8] | 0 |
| LR_8[cache_size=0.01,treshold=0.9] | 0 |
| LR_9[cache_size=0.01,treshold=0.3] | 80 |
| LR_9[cache_size=0.01,treshold=0.5] | 80 |
| LR_9[cache_size=0.01,treshold=0.6] | 80 |
| LR_9[cache_size=0.01,treshold=0.7] | 60 |
| LR_9[cache_size=0.01,treshold=0.8] | 0 |
| LR_9[cache_size=0.01,treshold=0.9] | 0 |
| LR_10[cache_size=0.1,treshold=0.3] | 80 |
| LR_10[cache_size=0.1,treshold=0.5] | 60 |
| LR_10[cache_size=0.1,treshold=0.6] | 60 |
| LR_10[cache_size=0.1,treshold=0.7] | 60 |
| LR_10[cache_size=0.1,treshold=0.8] | 40 |
| LR_10[cache_size=0.1,treshold=0.9] | 20 |
| LR_11[cache_size=0.1,treshold=0.3] | 80 |
| LR_11[cache_size=0.1,treshold=0.5] | 60 |
| LR_11[cache_size=0.1,treshold=0.6] | 60 |
| LR_11[cache_size=0.1,treshold=0.7] | 60 |
| LR_11[cache_size=0.1,treshold=0.8] | 40 |
| LR_11[cache_size=0.1,treshold=0.9] | 20 |
| LR_12[cache_size=0.1,treshold=0.3] | 80 |
| LR_12[cache_size=0.1,treshold=0.5] | 60 |
| LR_12[cache_size=0.1,treshold=0.6] | 40 |
| LR_12[cache_size=0.1,treshold=0.7] | 40 |
| LR_12[cache_size=0.1,treshold=0.8] | 20 |
| LR_12[cache_size=0.1,treshold=0.9] | 20 |
| LR_13[cache_size=0.1,treshold=0.3] | 80 |
| LR_13[cache_size=0.1,treshold=0.5] | 60 |
| LR_13[cache_size=0.1,treshold=0.6] | 80 |
| LR_13[cache_size=0.1,treshold=0.7] | 40 |
| LR_13[cache_size=0.1,treshold=0.8] | 0 |
| LR_13[cache_size=0.1,treshold=0.9] | 0 |
| LR_14[cache_size=0.1,treshold=0.3] | 80 |
| LR_14[cache_size=0.1,treshold=0.5] | 60 |
| LR_14[cache_size=0.1,treshold=0.6] | 60 |
| LR_14[cache_size=0.1,treshold=0.7] | 60 |
| LR_14[cache_size=0.1,treshold=0.8] | 0 |
| LR_14[cache_size=0.1,treshold=0.9] | 0 |
| LR_15[cache_size=0.1,treshold=0.3] | 80 |
| LR_15[cache_size=0.1,treshold=0.5] | 60 |
| LR_15[cache_size=0.1,treshold=0.6] | 60 |
| LR_15[cache_size=0.1,treshold=0.7] | 60 |
| LR_15[cache_size=0.1,treshold=0.8] | 0 |
| LR_15[cache_size=0.1,treshold=0.9] | 0 |
| LR_7[cache_size=0.1,treshold=0.3] | 80 |
| LR_7[cache_size=0.1,treshold=0.5] | 80 |
| LR_7[cache_size=0.1,treshold=0.6] | 40 |
| LR_7[cache_size=0.1,treshold=0.7] | 60 |
| LR_7[cache_size=0.1,treshold=0.8] | 0 |
| LR_7[cache_size=0.1,treshold=0.9] | 0 |
| LR_8[cache_size=0.1,treshold=0.3] | 80 |
| LR_8[cache_size=0.1,treshold=0.5] | 80 |
| LR_8[cache_size=0.1,treshold=0.6] | 80 |
| LR_8[cache_size=0.1,treshold=0.7] | 60 |
| LR_8[cache_size=0.1,treshold=0.8] | 0 |
| LR_8[cache_size=0.1,treshold=0.9] | 0 |
| LR_9[cache_size=0.1,treshold=0.3] | 80 |
| LR_9[cache_size=0.1,treshold=0.5] | 80 |
| LR_9[cache_size=0.1,treshold=0.6] | 80 |
| LR_9[cache_size=0.1,treshold=0.7] | 40 |
| LR_9[cache_size=0.1,treshold=0.8] | 0 |
| LR_9[cache_size=0.1,treshold=0.9] | 0 |
| LR_10[cache_size=0.2,treshold=0.3] | 40 |
| LR_10[cache_size=0.2,treshold=0.5] | 60 |
| LR_10[cache_size=0.2,treshold=0.6] | 60 |
| LR_10[cache_size=0.2,treshold=0.7] | 60 |
| LR_10[cache_size=0.2,treshold=0.8] | 0 |
| LR_10[cache_size=0.2,treshold=0.9] | 0 |
| LR_11[cache_size=0.2,treshold=0.3] | 40 |
| LR_11[cache_size=0.2,treshold=0.5] | 60 |
| LR_11[cache_size=0.2,treshold=0.6] | 60 |
| LR_11[cache_size=0.2,treshold=0.7] | 60 |
| LR_11[cache_size=0.2,treshold=0.8] | 0 |
| LR_11[cache_size=0.2,treshold=0.9] | 0 |
| LR_12[cache_size=0.2,treshold=0.3] | 40 |
| LR_12[cache_size=0.2,treshold=0.5] | 60 |
| LR_12[cache_size=0.2,treshold=0.6] | 60 |
| LR_12[cache_size=0.2,treshold=0.7] | 60 |
| LR_12[cache_size=0.2,treshold=0.8] | 0 |
| LR_12[cache_size=0.2,treshold=0.9] | 0 |
| LR_13[cache_size=0.2,treshold=0.3] | 40 |
| LR_13[cache_size=0.2,treshold=0.5] | 40 |
| LR_13[cache_size=0.2,treshold=0.6] | 40 |
| LR_13[cache_size=0.2,treshold=0.7] | 60 |
| LR_13[cache_size=0.2,treshold=0.8] | 0 |
| LR_13[cache_size=0.2,treshold=0.9] | 0 |
| LR_14[cache_size=0.2,treshold=0.3] | 40 |
| LR_14[cache_size=0.2,treshold=0.5] | 40 |
| LR_14[cache_size=0.2,treshold=0.6] | 40 |
| LR_14[cache_size=0.2,treshold=0.7] | 60 |
| LR_14[cache_size=0.2,treshold=0.8] | 0 |
| LR_14[cache_size=0.2,treshold=0.9] | 0 |
| LR_15[cache_size=0.2,treshold=0.3] | 60 |
| LR_15[cache_size=0.2,treshold=0.5] | 40 |
| LR_15[cache_size=0.2,treshold=0.6] | 40 |
| LR_15[cache_size=0.2,treshold=0.7] | 40 |
| LR_15[cache_size=0.2,treshold=0.8] | 0 |
| LR_15[cache_size=0.2,treshold=0.9] | 0 |
| LR_7[cache_size=0.2,treshold=0.3] | 40 |
| LR_7[cache_size=0.2,treshold=0.5] | 40 |
| LR_7[cache_size=0.2,treshold=0.6] | 60 |
| LR_7[cache_size=0.2,treshold=0.7] | 60 |
| LR_7[cache_size=0.2,treshold=0.8] | 0 |
| LR_7[cache_size=0.2,treshold=0.9] | 0 |
| LR_8[cache_size=0.2,treshold=0.3] | 60 |
| LR_8[cache_size=0.2,treshold=0.5] | 40 |
| LR_8[cache_size=0.2,treshold=0.6] | 60 |
| LR_8[cache_size=0.2,treshold=0.7] | 60 |
| LR_8[cache_size=0.2,treshold=0.8] | 0 |
| LR_8[cache_size=0.2,treshold=0.9] | 0 |
| LR_9[cache_size=0.2,treshold=0.3] | 60 |
| LR_9[cache_size=0.2,treshold=0.5] | 40 |
| LR_9[cache_size=0.2,treshold=0.6] | 60 |
| LR_9[cache_size=0.2,treshold=0.7] | 60 |
| LR_9[cache_size=0.2,treshold=0.8] | 0 |
| LR_9[cache_size=0.2,treshold=0.9] | 0 |
| LR_10[cache_size=0.4,treshold=0.3] | 60 |
| LR_10[cache_size=0.4,treshold=0.5] | 80 |
| LR_10[cache_size=0.4,treshold=0.6] | 80 |
| LR_10[cache_size=0.4,treshold=0.7] | 40 |
| LR_10[cache_size=0.4,treshold=0.8] | 40 |
| LR_10[cache_size=0.4,treshold=0.9] | 20 |
| LR_11[cache_size=0.4,treshold=0.3] | 60 |
| LR_11[cache_size=0.4,treshold=0.5] | 80 |
| LR_11[cache_size=0.4,treshold=0.6] | 60 |
| LR_11[cache_size=0.4,treshold=0.7] | 40 |
| LR_11[cache_size=0.4,treshold=0.8] | 0 |
| LR_11[cache_size=0.4,treshold=0.9] | 0 |
| LR_12[cache_size=0.4,treshold=0.3] | 80 |
| LR_12[cache_size=0.4,treshold=0.5] | 80 |
| LR_12[cache_size=0.4,treshold=0.6] | 80 |
| LR_12[cache_size=0.4,treshold=0.7] | 40 |
| LR_12[cache_size=0.4,treshold=0.8] | 0 |
| LR_12[cache_size=0.4,treshold=0.9] | 0 |
| LR_13[cache_size=0.4,treshold=0.3] | 60 |
| LR_13[cache_size=0.4,treshold=0.5] | 80 |
| LR_13[cache_size=0.4,treshold=0.6] | 80 |
| LR_13[cache_size=0.4,treshold=0.7] | 40 |
| LR_13[cache_size=0.4,treshold=0.8] | 20 |
| LR_13[cache_size=0.4,treshold=0.9] | 20 |
| LR_14[cache_size=0.4,treshold=0.3] | 60 |
| LR_14[cache_size=0.4,treshold=0.5] | 80 |
| LR_14[cache_size=0.4,treshold=0.6] | 80 |
| LR_14[cache_size=0.4,treshold=0.7] | 40 |
| LR_14[cache_size=0.4,treshold=0.8] | 20 |
| LR_14[cache_size=0.4,treshold=0.9] | 20 |
| LR_15[cache_size=0.4,treshold=0.3] | 80 |
| LR_15[cache_size=0.4,treshold=0.5] | 80 |
| LR_15[cache_size=0.4,treshold=0.6] | 80 |
| LR_15[cache_size=0.4,treshold=0.7] | 40 |
| LR_15[cache_size=0.4,treshold=0.8] | 20 |
| LR_15[cache_size=0.4,treshold=0.9] | 20 |
| LR_7[cache_size=0.4,treshold=0.3] | 80 |
| LR_7[cache_size=0.4,treshold=0.5] | 80 |
| LR_7[cache_size=0.4,treshold=0.6] | 80 |
| LR_7[cache_size=0.4,treshold=0.7] | 40 |
| LR_7[cache_size=0.4,treshold=0.8] | 20 |
| LR_7[cache_size=0.4,treshold=0.9] | 40 |
| LR_8[cache_size=0.4,treshold=0.3] | 80 |
| LR_8[cache_size=0.4,treshold=0.5] | 80 |
| LR_8[cache_size=0.4,treshold=0.6] | 80 |
| LR_8[cache_size=0.4,treshold=0.7] | 20 |
| LR_8[cache_size=0.4,treshold=0.8] | 0 |
| LR_8[cache_size=0.4,treshold=0.9] | 0 |
| LR_9[cache_size=0.4,treshold=0.3] | 80 |
| LR_9[cache_size=0.4,treshold=0.5] | 80 |
| LR_9[cache_size=0.4,treshold=0.6] | 80 |
| LR_9[cache_size=0.4,treshold=0.7] | 20 |
| LR_9[cache_size=0.4,treshold=0.8] | 0 |
| LR_9[cache_size=0.4,treshold=0.9] | 0 |
| Offline Clock 1st iteration | 0 |
| Offline Clock 2nd iteration | 100 |
| Zipf Optimal Distribution | 56 |
Promotion Reduced (%)
| Model | Max | Min | Avg | Mdn |
|---|---|---|---|---|
| LR_10[cache_size=0.001,treshold=0.3] | 97.5251 | 97.4386 | 97.476 | 97.4733 |
| LR_10[cache_size=0.001,treshold=0.5] | 93.7553 | 93.6115 | 93.6695 | 93.6449 |
| LR_10[cache_size=0.001,treshold=0.6] | 87.3734 | 87.1943 | 87.2682 | 87.2438 |
| LR_10[cache_size=0.001,treshold=0.7] | 26.0166 | 25.6524 | 25.8338 | 25.8229 |
| LR_10[cache_size=0.001,treshold=0.8] | 1.66789 | 1.61523 | 1.6328 | 1.62872 |
| LR_10[cache_size=0.001,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_10[cache_size=All,treshold=0.3] | 98.0623 | 90.7947 | 95.1189 | 95.4773 |
| LR_10[cache_size=All,treshold=0.5] | 86.4887 | 13.4401 | 46.6968 | 52.599 |
| LR_10[cache_size=All,treshold=0.6] | 76.5894 | 0.700736 | 28.9161 | 16.4192 |
| LR_10[cache_size=All,treshold=0.7] | 58.9215 | 0.223497 | 15.3703 | 6.63903 |
| LR_10[cache_size=All,treshold=0.8] | 18.1337 | 0.0247083 | 5.37182 | 4.12296 |
| LR_10[cache_size=All,treshold=0.9] | 3.45624 | 0.00273211 | 1.52489 | 1.60022 |
| LR_11[cache_size=0.001,treshold=0.3] | 91.9068 | 91.6789 | 91.737 | 91.6959 |
| LR_11[cache_size=0.001,treshold=0.5] | 75.224 | 75.0761 | 75.1469 | 75.1551 |
| LR_11[cache_size=0.001,treshold=0.6] | 58.7067 | 58.5526 | 58.6333 | 58.6431 |
| LR_11[cache_size=0.001,treshold=0.7] | 26.8304 | 26.4186 | 26.6328 | 26.6834 |
| LR_11[cache_size=0.001,treshold=0.8] | 0.0351018 | 0.0159226 | 0.0242171 | 0.0229968 |
| LR_11[cache_size=0.001,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_11[cache_size=All,treshold=0.3] | 98.119 | 70.9173 | 90.6142 | 94.2833 |
| LR_11[cache_size=All,treshold=0.5] | 85.2065 | 14.0347 | 41.6486 | 28.5799 |
| LR_11[cache_size=All,treshold=0.6] | 76.3445 | 0.726802 | 26.714 | 9.63783 |
| LR_11[cache_size=All,treshold=0.7] | 59.9017 | 0.241822 | 14.6793 | 3.7238 |
| LR_11[cache_size=All,treshold=0.8] | 23.2517 | 0.0280467 | 5.98543 | 2.12261 |
| LR_11[cache_size=All,treshold=0.9] | 3.5706 | 0.00303224 | 1.38632 | 0.809615 |
| LR_12[cache_size=0.001,treshold=0.3] | 96.3863 | 96.2251 | 96.285 | 96.2771 |
| LR_12[cache_size=0.001,treshold=0.5] | 85.2348 | 85.0491 | 85.1357 | 85.1452 |
| LR_12[cache_size=0.001,treshold=0.6] | 71.7157 | 71.628 | 71.6869 | 71.6919 |
| LR_12[cache_size=0.001,treshold=0.7] | 43.0577 | 42.8483 | 42.9785 | 42.9977 |
| LR_12[cache_size=0.001,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_12[cache_size=0.001,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_12[cache_size=All,treshold=0.3] | 98.1894 | 58.5912 | 87.9937 | 93.9287 |
| LR_12[cache_size=All,treshold=0.5] | 84.2409 | 14.4434 | 39.4358 | 18.1608 |
| LR_12[cache_size=All,treshold=0.6] | 75.5171 | 0.732406 | 26.1776 | 9.67854 |
| LR_12[cache_size=All,treshold=0.7] | 59.6489 | 0.244398 | 14.1821 | 2.88019 |
| LR_12[cache_size=All,treshold=0.8] | 22.6008 | 0.0280312 | 5.76445 | 1.64825 |
| LR_12[cache_size=All,treshold=0.9] | 3.53358 | 0.00298583 | 1.32528 | 0.557424 |
| LR_13[cache_size=0.001,treshold=0.3] | 97.5371 | 97.4516 | 97.4848 | 97.4754 |
| LR_13[cache_size=0.001,treshold=0.5] | 93.7102 | 93.5653 | 93.6261 | 93.6148 |
| LR_13[cache_size=0.001,treshold=0.6] | 87.3296 | 87.1502 | 87.2206 | 87.1728 |
| LR_13[cache_size=0.001,treshold=0.7] | 26.0862 | 25.7144 | 25.8855 | 25.879 |
| LR_13[cache_size=0.001,treshold=0.8] | 1.646 | 1.56919 | 1.60719 | 1.60666 |
| LR_13[cache_size=0.001,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_13[cache_size=All,treshold=0.3] | 98.4936 | 81.7862 | 90.8247 | 92.2814 |
| LR_13[cache_size=All,treshold=0.5] | 76.5658 | 0.0120017 | 25.3015 | 4.51844 |
| LR_13[cache_size=All,treshold=0.6] | 42.0709 | 0.00108558 | 8.72344 | 0.470934 |
| LR_13[cache_size=All,treshold=0.7] | 1.00954 | -5.53978e-06 | 0.221484 | 2.10371e-05 |
| LR_13[cache_size=All,treshold=0.8] | 0.995569 | 0 | 0.216238 | 0 |
| LR_13[cache_size=All,treshold=0.9] | 0.986525 | 0 | 0.214378 | 0 |
| LR_14[cache_size=0.001,treshold=0.3] | 91.9068 | 91.6789 | 91.737 | 91.6959 |
| LR_14[cache_size=0.001,treshold=0.5] | 75.224 | 75.0761 | 75.1469 | 75.1551 |
| LR_14[cache_size=0.001,treshold=0.6] | 58.7067 | 58.5526 | 58.6331 | 58.6431 |
| LR_14[cache_size=0.001,treshold=0.7] | 27.3288 | 26.9986 | 27.1804 | 27.238 |
| LR_14[cache_size=0.001,treshold=0.8] | 0.0280814 | 0.011942 | 0.0174121 | 0.0159978 |
| LR_14[cache_size=0.001,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_14[cache_size=All,treshold=0.3] | 98.5848 | 67.9597 | 87.5698 | 92.7413 |
| LR_14[cache_size=All,treshold=0.5] | 76.5447 | 0.014624 | 25.5286 | 6.62513 |
| LR_14[cache_size=All,treshold=0.6] | 41.8591 | 0.0015179 | 8.65122 | 0.28922 |
| LR_14[cache_size=All,treshold=0.7] | 1.01971 | 0 | 0.221567 | 3.15585e-05 |
| LR_14[cache_size=All,treshold=0.8] | 0.996072 | 0 | 0.21626 | 0 |
| LR_14[cache_size=All,treshold=0.9] | 0.98964 | 0 | 0.214784 | 0 |
| LR_15[cache_size=0.001,treshold=0.3] | 96.3873 | 96.2321 | 96.2876 | 96.2781 |
| LR_15[cache_size=0.001,treshold=0.5] | 85.2248 | 85.0531 | 85.1286 | 85.1284 |
| LR_15[cache_size=0.001,treshold=0.6] | 71.6985 | 71.619 | 71.6749 | 71.6917 |
| LR_15[cache_size=0.001,treshold=0.7] | 43.0687 | 42.8563 | 43.0001 | 43.0077 |
| LR_15[cache_size=0.001,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_15[cache_size=0.001,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_15[cache_size=All,treshold=0.3] | 98.6291 | 62.5759 | 86.6398 | 92.97 |
| LR_15[cache_size=All,treshold=0.5] | 76.5466 | 0.0168294 | 25.826 | 8.15949 |
| LR_15[cache_size=All,treshold=0.6] | 41.494 | 0.00192784 | 8.57445 | 0.267203 |
| LR_15[cache_size=All,treshold=0.7] | 1.02866 | 0 | 0.2232 | 5.25918e-05 |
| LR_15[cache_size=All,treshold=0.8] | 0.995167 | 0 | 0.215979 | 1.05184e-05 |
| LR_15[cache_size=All,treshold=0.9] | 0.984917 | 0 | 0.213844 | 0 |
| LR_7[cache_size=0.001,treshold=0.3] | 97.5571 | 97.4626 | 97.4992 | 97.4882 |
| LR_7[cache_size=0.001,treshold=0.5] | 93.7503 | 93.623 | 93.6585 | 93.6339 |
| LR_7[cache_size=0.001,treshold=0.6] | 87.1094 | 86.9658 | 87.0477 | 87.0595 |
| LR_7[cache_size=0.001,treshold=0.7] | 26.3669 | 25.9094 | 26.148 | 26.1589 |
| LR_7[cache_size=0.001,treshold=0.8] | 1.64238 | 1.59578 | 1.61903 | 1.6217 |
| LR_7[cache_size=0.001,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=All,treshold=0.3] | 95.1715 | 72.7889 | 84.2368 | 85.8594 |
| LR_7[cache_size=All,treshold=0.5] | 73.1029 | 38.4053 | 56.871 | 61.8199 |
| LR_7[cache_size=All,treshold=0.6] | 58.3081 | 16.0942 | 36.825 | 31.9636 |
| LR_7[cache_size=All,treshold=0.7] | 53.2996 | 2.63038 | 24.5411 | 12.5872 |
| LR_7[cache_size=All,treshold=0.8] | 47.1457 | 0.168942 | 19.3419 | 6.2512 |
| LR_7[cache_size=All,treshold=0.9] | 37.938 | 0.00257741 | 14.5401 | 2.15885 |
| LR_8[cache_size=0.001,treshold=0.3] | 91.9068 | 91.6789 | 91.737 | 91.6959 |
| LR_8[cache_size=0.001,treshold=0.5] | 75.224 | 75.0761 | 75.1469 | 75.1551 |
| LR_8[cache_size=0.001,treshold=0.6] | 58.7067 | 58.5526 | 58.6331 | 58.6431 |
| LR_8[cache_size=0.001,treshold=0.7] | 33.7246 | 33.2856 | 33.5811 | 33.7083 |
| LR_8[cache_size=0.001,treshold=0.8] | 0.0280814 | 0.011942 | 0.0174121 | 0.0159978 |
| LR_8[cache_size=0.001,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=All,treshold=0.3] | 95.1364 | 73.8602 | 84.4348 | 85.7619 |
| LR_8[cache_size=All,treshold=0.5] | 73.0882 | 38.2458 | 57.0313 | 61.8875 |
| LR_8[cache_size=All,treshold=0.6] | 59.4685 | 16.0466 | 37.0996 | 32.2961 |
| LR_8[cache_size=All,treshold=0.7] | 54.3847 | 2.6458 | 24.7665 | 12.5139 |
| LR_8[cache_size=All,treshold=0.8] | 48.4204 | 0.169078 | 19.594 | 6.2073 |
| LR_8[cache_size=All,treshold=0.9] | 38.7875 | 0.00256503 | 14.7166 | 2.13942 |
| LR_9[cache_size=0.001,treshold=0.3] | 96.3752 | 96.195 | 96.2502 | 96.2215 |
| LR_9[cache_size=0.001,treshold=0.5] | 85.1687 | 85.0145 | 85.0789 | 85.0477 |
| LR_9[cache_size=0.001,treshold=0.6] | 71.7115 | 71.6316 | 71.6629 | 71.6567 |
| LR_9[cache_size=0.001,treshold=0.7] | 43.1015 | 42.8623 | 43.0062 | 43.0327 |
| LR_9[cache_size=0.001,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.001,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=All,treshold=0.3] | 95.1994 | 71.6255 | 84.0063 | 85.9408 |
| LR_9[cache_size=All,treshold=0.5] | 73.0953 | 38.5439 | 56.6746 | 61.7484 |
| LR_9[cache_size=All,treshold=0.6] | 57.255 | 16.1337 | 36.5584 | 31.5905 |
| LR_9[cache_size=All,treshold=0.7] | 52.2616 | 2.61461 | 24.3469 | 12.6649 |
| LR_9[cache_size=All,treshold=0.8] | 46.1398 | 0.169103 | 19.1538 | 6.30023 |
| LR_9[cache_size=All,treshold=0.9] | 37.0043 | 0.00262691 | 14.3603 | 2.18227 |
| LR_10[cache_size=0.01,treshold=0.3] | 97.375 | 97.3163 | 97.3478 | 97.3536 |
| LR_10[cache_size=0.01,treshold=0.5] | 94.6888 | 94.6161 | 94.656 | 94.6633 |
| LR_10[cache_size=0.01,treshold=0.6] | 90.3682 | 90.2595 | 90.3135 | 90.3117 |
| LR_10[cache_size=0.01,treshold=0.7] | 6.03174 | 5.94003 | 6.00207 | 6.01526 |
| LR_10[cache_size=0.01,treshold=0.8] | 0.00050356 | 0 | 0.000241275 | 0.000200983 |
| LR_10[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_11[cache_size=0.01,treshold=0.3] | 94.3315 | 94.2582 | 94.287 | 94.2818 |
| LR_11[cache_size=0.01,treshold=0.5] | 80.6643 | 80.5771 | 80.6194 | 80.6123 |
| LR_11[cache_size=0.01,treshold=0.6] | 66.8483 | 66.7207 | 66.7776 | 66.7719 |
| LR_11[cache_size=0.01,treshold=0.7] | 40.5801 | 40.509 | 40.5422 | 40.5384 |
| LR_11[cache_size=0.01,treshold=0.8] | 1.44608 | 1.41296 | 1.43248 | 1.43323 |
| LR_11[cache_size=0.01,treshold=0.9] | 0.00421799 | 0.0023063 | 0.00359838 | 0.00382705 |
| LR_12[cache_size=0.01,treshold=0.3] | 95.5653 | 95.4966 | 95.5278 | 95.521 |
| LR_12[cache_size=0.01,treshold=0.5] | 84.6144 | 84.5207 | 84.5513 | 84.5412 |
| LR_12[cache_size=0.01,treshold=0.6] | 71.4212 | 71.3477 | 71.3724 | 71.3584 |
| LR_12[cache_size=0.01,treshold=0.7] | 42.1164 | 42.0782 | 42.0978 | 42.1007 |
| LR_12[cache_size=0.01,treshold=0.8] | 1.42588 | 1.39571 | 1.41357 | 1.41188 |
| LR_12[cache_size=0.01,treshold=0.9] | 0.00713041 | 0.00401096 | 0.00576894 | 0.00613557 |
| LR_13[cache_size=0.01,treshold=0.3] | 97.3731 | 97.3151 | 97.3462 | 97.3519 |
| LR_13[cache_size=0.01,treshold=0.5] | 94.6805 | 94.6052 | 94.6481 | 94.657 |
| LR_13[cache_size=0.01,treshold=0.6] | 90.3742 | 90.2749 | 90.324 | 90.3247 |
| LR_13[cache_size=0.01,treshold=0.7] | 8.03698 | 8.00667 | 8.02649 | 8.03409 |
| LR_13[cache_size=0.01,treshold=0.8] | 0.000100712 | 0 | 2.01424e-05 | 0 |
| LR_13[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_14[cache_size=0.01,treshold=0.3] | 93.9165 | 93.8404 | 93.8637 | 93.851 |
| LR_14[cache_size=0.01,treshold=0.5] | 81.5645 | 81.4569 | 81.4959 | 81.4904 |
| LR_14[cache_size=0.01,treshold=0.6] | 68.2926 | 68.2366 | 68.2604 | 68.249 |
| LR_14[cache_size=0.01,treshold=0.7] | 41.2829 | 41.1636 | 41.1976 | 41.1719 |
| LR_14[cache_size=0.01,treshold=0.8] | 2.83379 | 2.79279 | 2.80859 | 2.80884 |
| LR_14[cache_size=0.01,treshold=0.9] | 0.00210899 | 0.000802192 | 0.00156809 | 0.00161139 |
| LR_15[cache_size=0.01,treshold=0.3] | 95.6961 | 95.6312 | 95.6606 | 95.655 |
| LR_15[cache_size=0.01,treshold=0.5] | 85.2907 | 85.2006 | 85.2238 | 85.2046 |
| LR_15[cache_size=0.01,treshold=0.6] | 72.1813 | 72.103 | 72.1346 | 72.1318 |
| LR_15[cache_size=0.01,treshold=0.7] | 41.1227 | 41.0181 | 41.0454 | 41.0263 |
| LR_15[cache_size=0.01,treshold=0.8] | 2.16584 | 2.13363 | 2.14395 | 2.14157 |
| LR_15[cache_size=0.01,treshold=0.9] | 0.00200857 | 0.000701918 | 0.00146762 | 0.00160933 |
| LR_7[cache_size=0.01,treshold=0.3] | 97.3686 | 97.3096 | 97.3425 | 97.3482 |
| LR_7[cache_size=0.01,treshold=0.5] | 94.6936 | 94.6141 | 94.6562 | 94.6603 |
| LR_7[cache_size=0.01,treshold=0.6] | 90.3488 | 90.2492 | 90.2962 | 90.2923 |
| LR_7[cache_size=0.01,treshold=0.7] | 4.58652 | 4.53429 | 4.55233 | 4.54331 |
| LR_7[cache_size=0.01,treshold=0.8] | 0.000301475 | 0.000200548 | 0.000221094 | 0.000201166 |
| LR_7[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.01,treshold=0.3] | 94.2905 | 94.2105 | 94.2408 | 94.2346 |
| LR_8[cache_size=0.01,treshold=0.5] | 79.8408 | 79.7648 | 79.8063 | 79.7978 |
| LR_8[cache_size=0.01,treshold=0.6] | 66.1403 | 66.0341 | 66.092 | 66.086 |
| LR_8[cache_size=0.01,treshold=0.7] | 41.2065 | 41.1067 | 41.1406 | 41.1234 |
| LR_8[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.01,treshold=0.3] | 95.4735 | 95.3989 | 95.4305 | 95.421 |
| LR_9[cache_size=0.01,treshold=0.5] | 83.9046 | 83.8062 | 83.8462 | 83.8416 |
| LR_9[cache_size=0.01,treshold=0.6] | 70.4536 | 70.3886 | 70.4178 | 70.413 |
| LR_9[cache_size=0.01,treshold=0.7] | 42.8521 | 42.7654 | 42.7949 | 42.774 |
| LR_9[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_10[cache_size=0.1,treshold=0.3] | 89.2643 | 89.2542 | 89.2601 | 89.263 |
| LR_10[cache_size=0.1,treshold=0.5] | 77.2598 | 77.2401 | 77.2519 | 77.2581 |
| LR_10[cache_size=0.1,treshold=0.6] | 62.1711 | 62.1222 | 62.1451 | 62.1468 |
| LR_10[cache_size=0.1,treshold=0.7] | 31.5959 | 31.5519 | 31.5796 | 31.5829 |
| LR_10[cache_size=0.1,treshold=0.8] | 2.13467 | 2.12937 | 2.13197 | 2.1317 |
| LR_10[cache_size=0.1,treshold=0.9] | 0.257826 | 0.253058 | 0.256527 | 0.257168 |
| LR_11[cache_size=0.1,treshold=0.3] | 89.1798 | 89.1671 | 89.1748 | 89.1782 |
| LR_11[cache_size=0.1,treshold=0.5] | 77.0769 | 77.0543 | 77.0672 | 77.0728 |
| LR_11[cache_size=0.1,treshold=0.6] | 62.1013 | 62.0506 | 62.0742 | 62.076 |
| LR_11[cache_size=0.1,treshold=0.7] | 31.6941 | 31.6538 | 31.6784 | 31.6804 |
| LR_11[cache_size=0.1,treshold=0.8] | 2.13293 | 2.12782 | 2.13011 | 2.12939 |
| LR_11[cache_size=0.1,treshold=0.9] | 0.262286 | 0.257266 | 0.260655 | 0.261218 |
| LR_12[cache_size=0.1,treshold=0.3] | 89.2823 | 89.2716 | 89.2776 | 89.2798 |
| LR_12[cache_size=0.1,treshold=0.5] | 77.3199 | 77.3019 | 77.3129 | 77.3191 |
| LR_12[cache_size=0.1,treshold=0.6] | 62.2521 | 62.2042 | 62.2253 | 62.2258 |
| LR_12[cache_size=0.1,treshold=0.7] | 31.5346 | 31.4921 | 31.519 | 31.5228 |
| LR_12[cache_size=0.1,treshold=0.8] | 2.09835 | 2.09459 | 2.09604 | 2.0948 |
| LR_12[cache_size=0.1,treshold=0.9] | 0.252683 | 0.24846 | 0.251711 | 0.252414 |
| LR_13[cache_size=0.1,treshold=0.3] | 85.7624 | 85.7447 | 85.7521 | 85.7507 |
| LR_13[cache_size=0.1,treshold=0.5] | 77.6022 | 77.5651 | 77.5868 | 77.5921 |
| LR_13[cache_size=0.1,treshold=0.6] | 68.6033 | 68.5457 | 68.5775 | 68.5855 |
| LR_13[cache_size=0.1,treshold=0.7] | 15.2344 | 15.1752 | 15.2046 | 15.2071 |
| LR_13[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_13[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_14[cache_size=0.1,treshold=0.3] | 85.7079 | 85.6903 | 85.698 | 85.6963 |
| LR_14[cache_size=0.1,treshold=0.5] | 76.0659 | 76.0278 | 76.0474 | 76.0461 |
| LR_14[cache_size=0.1,treshold=0.6] | 66.5266 | 66.4793 | 66.499 | 66.4994 |
| LR_14[cache_size=0.1,treshold=0.7] | 23.3943 | 23.3549 | 23.3742 | 23.371 |
| LR_14[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_14[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_15[cache_size=0.1,treshold=0.3] | 85.7083 | 85.6905 | 85.6983 | 85.6966 |
| LR_15[cache_size=0.1,treshold=0.5] | 76.0658 | 76.0278 | 76.0474 | 76.0461 |
| LR_15[cache_size=0.1,treshold=0.6] | 66.5255 | 66.4775 | 66.4974 | 66.4975 |
| LR_15[cache_size=0.1,treshold=0.7] | 23.5234 | 23.4831 | 23.5022 | 23.4977 |
| LR_15[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_15[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.3] | 89.4207 | 89.4013 | 89.4085 | 89.404 |
| LR_7[cache_size=0.1,treshold=0.5] | 74.6101 | 74.5765 | 74.5935 | 74.5995 |
| LR_7[cache_size=0.1,treshold=0.6] | 59.0326 | 58.9805 | 59.0047 | 59.0117 |
| LR_7[cache_size=0.1,treshold=0.7] | 28.4263 | 28.3778 | 28.4064 | 28.4082 |
| LR_7[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.1,treshold=0.3] | 87.8624 | 87.8457 | 87.8534 | 87.8523 |
| LR_8[cache_size=0.1,treshold=0.5] | 71.306 | 71.2659 | 71.2896 | 71.2975 |
| LR_8[cache_size=0.1,treshold=0.6] | 56.6264 | 56.5704 | 56.5977 | 56.6045 |
| LR_8[cache_size=0.1,treshold=0.7] | 31.677 | 31.6262 | 31.6543 | 31.6554 |
| LR_8[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.1,treshold=0.3] | 87.9638 | 87.9473 | 87.9551 | 87.9535 |
| LR_9[cache_size=0.1,treshold=0.5] | 71.4639 | 71.4227 | 71.4479 | 71.4568 |
| LR_9[cache_size=0.1,treshold=0.6] | 56.7316 | 56.6757 | 56.7036 | 56.7094 |
| LR_9[cache_size=0.1,treshold=0.7] | 31.5653 | 31.513 | 31.5425 | 31.5428 |
| LR_9[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_10[cache_size=0.2,treshold=0.3] | 83.5961 | 83.5694 | 83.5792 | 83.5753 |
| LR_10[cache_size=0.2,treshold=0.5] | 68.5525 | 68.5371 | 68.545 | 68.5465 |
| LR_10[cache_size=0.2,treshold=0.6] | 55.0807 | 55.0695 | 55.073 | 55.0709 |
| LR_10[cache_size=0.2,treshold=0.7] | 20.0306 | 20.0094 | 20.0186 | 20.0145 |
| LR_10[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_10[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_11[cache_size=0.2,treshold=0.3] | 83.6025 | 83.5758 | 83.5855 | 83.5816 |
| LR_11[cache_size=0.2,treshold=0.5] | 68.9088 | 68.8911 | 68.8993 | 68.901 |
| LR_11[cache_size=0.2,treshold=0.6] | 55.2445 | 55.2327 | 55.2358 | 55.2336 |
| LR_11[cache_size=0.2,treshold=0.7] | 19.5682 | 19.5445 | 19.5556 | 19.5541 |
| LR_11[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_11[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_12[cache_size=0.2,treshold=0.3] | 83.5937 | 83.5671 | 83.5768 | 83.5727 |
| LR_12[cache_size=0.2,treshold=0.5] | 69.2713 | 69.2555 | 69.2636 | 69.2649 |
| LR_12[cache_size=0.2,treshold=0.6] | 55.3333 | 55.3201 | 55.3243 | 55.3227 |
| LR_12[cache_size=0.2,treshold=0.7] | 19.1504 | 19.1237 | 19.1382 | 19.1369 |
| LR_12[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_12[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_13[cache_size=0.2,treshold=0.3] | 85.1814 | 85.1577 | 85.167 | 85.1645 |
| LR_13[cache_size=0.2,treshold=0.5] | 67.1231 | 67.1173 | 67.1204 | 67.1213 |
| LR_13[cache_size=0.2,treshold=0.6] | 49.1877 | 49.1653 | 49.1735 | 49.1699 |
| LR_13[cache_size=0.2,treshold=0.7] | 17.1856 | 17.1694 | 17.1774 | 17.1748 |
| LR_13[cache_size=0.2,treshold=0.8] | 0.00191122 | 0.00171103 | 0.00182223 | 0.00184962 |
| LR_13[cache_size=0.2,treshold=0.9] | 0.000725711 | 0.000609103 | 0.000666862 | 0.000670311 |
| LR_14[cache_size=0.2,treshold=0.3] | 85.1966 | 85.174 | 85.1825 | 85.1797 |
| LR_14[cache_size=0.2,treshold=0.5] | 67.0779 | 67.0718 | 67.0754 | 67.0765 |
| LR_14[cache_size=0.2,treshold=0.6] | 49.0908 | 49.0709 | 49.0774 | 49.073 |
| LR_14[cache_size=0.2,treshold=0.7] | 17.0192 | 17.0031 | 17.0112 | 17.0085 |
| LR_14[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_14[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_15[cache_size=0.2,treshold=0.3] | 85.2582 | 85.2335 | 85.2436 | 85.2404 |
| LR_15[cache_size=0.2,treshold=0.5] | 67.1184 | 67.1115 | 67.1154 | 67.1163 |
| LR_15[cache_size=0.2,treshold=0.6] | 49.114 | 49.0932 | 49.1003 | 49.0966 |
| LR_15[cache_size=0.2,treshold=0.7] | 16.8604 | 16.847 | 16.8534 | 16.8522 |
| LR_15[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_15[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.3] | 83.7699 | 83.747 | 83.755 | 83.7504 |
| LR_7[cache_size=0.2,treshold=0.5] | 64.4387 | 64.4283 | 64.4317 | 64.43 |
| LR_7[cache_size=0.2,treshold=0.6] | 47.9629 | 47.9344 | 47.9486 | 47.9476 |
| LR_7[cache_size=0.2,treshold=0.7] | 20.5382 | 20.516 | 20.5278 | 20.525 |
| LR_7[cache_size=0.2,treshold=0.8] | 0.000714631 | 0.000564855 | 0.000634739 | 0.000631533 |
| LR_7[cache_size=0.2,treshold=0.9] | 4.9858e-05 | 2.21512e-05 | 3.54487e-05 | 3.3232e-05 |
| LR_8[cache_size=0.2,treshold=0.3] | 83.9088 | 83.8831 | 83.8913 | 83.8872 |
| LR_8[cache_size=0.2,treshold=0.5] | 64.5758 | 64.5667 | 64.5704 | 64.5701 |
| LR_8[cache_size=0.2,treshold=0.6] | 47.9949 | 47.9657 | 47.9799 | 47.9789 |
| LR_8[cache_size=0.2,treshold=0.7] | 20.2506 | 20.2309 | 20.2397 | 20.2356 |
| LR_8[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.2,treshold=0.3] | 83.9717 | 83.9454 | 83.9533 | 83.9483 |
| LR_9[cache_size=0.2,treshold=0.5] | 64.6332 | 64.6245 | 64.6284 | 64.629 |
| LR_9[cache_size=0.2,treshold=0.6] | 47.9965 | 47.9664 | 47.9809 | 47.9793 |
| LR_9[cache_size=0.2,treshold=0.7] | 20.0841 | 20.066 | 20.0744 | 20.0708 |
| LR_9[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_10[cache_size=0.4,treshold=0.3] | 76.9303 | 76.908 | 76.9145 | 76.9106 |
| LR_10[cache_size=0.4,treshold=0.5] | 50.9489 | 50.9349 | 50.9438 | 50.9464 |
| LR_10[cache_size=0.4,treshold=0.6] | 34.15 | 34.1391 | 34.1443 | 34.1449 |
| LR_10[cache_size=0.4,treshold=0.7] | 9.13262 | 9.11202 | 9.12143 | 9.11759 |
| LR_10[cache_size=0.4,treshold=0.8] | 0.0186612 | 0.017784 | 0.0181582 | 0.0181346 |
| LR_10[cache_size=0.4,treshold=0.9] | 0.0109344 | 0.0102446 | 0.0105435 | 0.0104426 |
| LR_11[cache_size=0.4,treshold=0.3] | 77.1578 | 77.0879 | 77.1189 | 77.1225 |
| LR_11[cache_size=0.4,treshold=0.5] | 50.9136 | 50.8969 | 50.9072 | 50.9101 |
| LR_11[cache_size=0.4,treshold=0.6] | 33.9787 | 33.9651 | 33.9714 | 33.9717 |
| LR_11[cache_size=0.4,treshold=0.7] | 8.73736 | 8.64091 | 8.68815 | 8.69015 |
| LR_11[cache_size=0.4,treshold=0.8] | 0.00832935 | 0.00766682 | 0.00807639 | 0.00805432 |
| LR_11[cache_size=0.4,treshold=0.9] | 0.00205078 | 0.00181006 | 0.00189812 | 0.00188746 |
| LR_12[cache_size=0.4,treshold=0.3] | 77.2316 | 77.2054 | 77.2139 | 77.2129 |
| LR_12[cache_size=0.4,treshold=0.5] | 50.9266 | 50.9126 | 50.9215 | 50.9242 |
| LR_12[cache_size=0.4,treshold=0.6] | 33.9334 | 33.9216 | 33.9271 | 33.9277 |
| LR_12[cache_size=0.4,treshold=0.7] | 8.54139 | 8.51295 | 8.52589 | 8.52181 |
| LR_12[cache_size=0.4,treshold=0.8] | 0.00810039 | 0.00762969 | 0.00791551 | 0.00798041 |
| LR_12[cache_size=0.4,treshold=0.9] | 0.00197345 | 0.00178531 | 0.00186192 | 0.00184709 |
| LR_13[cache_size=0.4,treshold=0.3] | 79.7959 | 79.7707 | 79.7821 | 79.7794 |
| LR_13[cache_size=0.4,treshold=0.5] | 56.8821 | 56.8772 | 56.8796 | 56.8796 |
| LR_13[cache_size=0.4,treshold=0.6] | 37.4317 | 37.4198 | 37.4265 | 37.4261 |
| LR_13[cache_size=0.4,treshold=0.7] | 4.59219 | 4.56944 | 4.58143 | 4.58078 |
| LR_13[cache_size=0.4,treshold=0.8] | 0.00822766 | 0.00764558 | 0.00791799 | 0.00784122 |
| LR_13[cache_size=0.4,treshold=0.9] | 0.00372859 | 0.00342191 | 0.00353946 | 0.00352004 |
| LR_14[cache_size=0.4,treshold=0.3] | 79.7923 | 79.7675 | 79.7787 | 79.7763 |
| LR_14[cache_size=0.4,treshold=0.5] | 56.8712 | 56.8663 | 56.8686 | 56.8685 |
| LR_14[cache_size=0.4,treshold=0.6] | 37.4622 | 37.4499 | 37.4573 | 37.4572 |
| LR_14[cache_size=0.4,treshold=0.7] | 4.6881 | 4.66267 | 4.67491 | 4.67321 |
| LR_14[cache_size=0.4,treshold=0.8] | 0.00791513 | 0.00743518 | 0.00766738 | 0.00765872 |
| LR_14[cache_size=0.4,treshold=0.9] | 0.00371931 | 0.00340026 | 0.00353265 | 0.00352004 |
| LR_15[cache_size=0.4,treshold=0.3] | 79.8184 | 79.7927 | 79.8045 | 79.8023 |
| LR_15[cache_size=0.4,treshold=0.5] | 56.8987 | 56.8941 | 56.8963 | 56.8963 |
| LR_15[cache_size=0.4,treshold=0.6] | 37.4239 | 37.4122 | 37.4186 | 37.4181 |
| LR_15[cache_size=0.4,treshold=0.7] | 4.51422 | 4.49214 | 4.50309 | 4.50226 |
| LR_15[cache_size=0.4,treshold=0.8] | 0.00824003 | 0.00772293 | 0.00794398 | 0.00786287 |
| LR_15[cache_size=0.4,treshold=0.9] | 0.00371621 | 0.00339407 | 0.00352523 | 0.00350458 |
| LR_7[cache_size=0.4,treshold=0.3] | 82.6636 | 82.6517 | 82.6574 | 82.6576 |
| LR_7[cache_size=0.4,treshold=0.5] | 58.8613 | 58.8492 | 58.856 | 58.8576 |
| LR_7[cache_size=0.4,treshold=0.6] | 36.525 | 36.509 | 36.5186 | 36.5205 |
| LR_7[cache_size=0.4,treshold=0.7] | 0.0598249 | 0.0588934 | 0.0593094 | 0.0591997 |
| LR_7[cache_size=0.4,treshold=0.8] | 0.016233 | 0.0157954 | 0.0159684 | 0.015879 |
| LR_7[cache_size=0.4,treshold=0.9] | 0.0138327 | 0.0131252 | 0.0134153 | 0.0133349 |
| LR_8[cache_size=0.4,treshold=0.3] | 82.9483 | 82.9326 | 82.9406 | 82.9413 |
| LR_8[cache_size=0.4,treshold=0.5] | 59.0477 | 59.034 | 59.0413 | 59.0426 |
| LR_8[cache_size=0.4,treshold=0.6] | 36.3088 | 36.2915 | 36.3009 | 36.3037 |
| LR_8[cache_size=0.4,treshold=0.7] | 0.0377267 | 0.0364858 | 0.0368858 | 0.0365835 |
| LR_8[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.4,treshold=0.3] | 83.0086 | 82.9942 | 83.0019 | 83.003 |
| LR_9[cache_size=0.4,treshold=0.5] | 59.0808 | 59.0669 | 59.0739 | 59.0748 |
| LR_9[cache_size=0.4,treshold=0.6] | 36.2503 | 36.2326 | 36.2417 | 36.243 |
| LR_9[cache_size=0.4,treshold=0.7] | 0.0369191 | 0.0353162 | 0.0359428 | 0.0356269 |
| LR_9[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 | 0 | 0 |
| Offline Clock 2nd iteration | 99.8119 | 59.132 | 82.3408 | 83.126 |
| Zipf Optimal Distribution | 99.9168 | 54.4937 | 83.9515 | 89.1265 |
Miss Ratio Reduced (%)
| Model | Max | Min | Avg | Mdn |
|---|---|---|---|---|
| LR_10[cache_size=0.001,treshold=0.3] | 0 | 0 | 0 | 0 |
| LR_10[cache_size=0.001,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_10[cache_size=0.001,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_10[cache_size=0.001,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_10[cache_size=0.001,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_10[cache_size=0.001,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_10[cache_size=All,treshold=0.3] | 0.00798719 | -0.00362421 | 0.00086107 | 0.000202019 |
| LR_10[cache_size=All,treshold=0.5] | 0.00565776 | -0.0019968 | 0.000724704 | 0.000101011 |
| LR_10[cache_size=All,treshold=0.6] | 0.00815363 | -0.00183045 | 0.000486782 | 0 |
| LR_10[cache_size=All,treshold=0.7] | 0.00249601 | -0.00282888 | -1.46201e-05 | 0 |
| LR_10[cache_size=All,treshold=0.8] | 0.000333323 | -0.000332784 | 1.1821e-05 | 0 |
| LR_10[cache_size=All,treshold=0.9] | 0.000444431 | -0.000222218 | -1.34833e-05 | 0 |
| LR_11[cache_size=0.001,treshold=0.3] | 0 | 0 | 0 | 0 |
| LR_11[cache_size=0.001,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_11[cache_size=0.001,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_11[cache_size=0.001,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_11[cache_size=0.001,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_11[cache_size=0.001,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_11[cache_size=All,treshold=0.3] | 0.00798719 | -0.00374918 | 0.000828169 | 0.000202019 |
| LR_11[cache_size=All,treshold=0.5] | 0.00582416 | -0.001664 | 0.000733458 | 0 |
| LR_11[cache_size=All,treshold=0.6] | 0.00881924 | -0.00249607 | 0.000439082 | 0 |
| LR_11[cache_size=All,treshold=0.7] | 0.00299521 | -0.00183045 | 0.000116297 | 0 |
| LR_11[cache_size=All,treshold=0.8] | 0.000499202 | -0.0003328 | 6.41822e-06 | 0 |
| LR_11[cache_size=All,treshold=0.9] | 0.000444431 | -0.000333327 | -1.34835e-05 | 0 |
| LR_12[cache_size=0.001,treshold=0.3] | 0 | 0 | 0 | 0 |
| LR_12[cache_size=0.001,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_12[cache_size=0.001,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_12[cache_size=0.001,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_12[cache_size=0.001,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_12[cache_size=0.001,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_12[cache_size=All,treshold=0.3] | 0.00798719 | -0.00362421 | 0.000874789 | 0.000202019 |
| LR_12[cache_size=All,treshold=0.5] | 0.00582416 | -0.0014976 | 0.00073348 | 0 |
| LR_12[cache_size=All,treshold=0.6] | 0.00881924 | -0.00332809 | 0.000474746 | 0 |
| LR_12[cache_size=All,treshold=0.7] | 0.0014976 | -0.00133124 | 3.36536e-05 | 0 |
| LR_12[cache_size=All,treshold=0.8] | 0.000499202 | -0.0003328 | 1.50536e-05 | 0 |
| LR_12[cache_size=All,treshold=0.9] | 0.000333323 | -0.000222218 | -9.03926e-06 | 0 |
| LR_13[cache_size=0.001,treshold=0.3] | 0 | 0 | 0 | 0 |
| LR_13[cache_size=0.001,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_13[cache_size=0.001,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_13[cache_size=0.001,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_13[cache_size=0.001,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_13[cache_size=0.001,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_13[cache_size=All,treshold=0.3] | 0.00815359 | -0.00349923 | 0.000893184 | 0.000202019 |
| LR_13[cache_size=All,treshold=0.5] | 0.00798742 | -0.0027494 | 0.000570512 | 0 |
| LR_13[cache_size=All,treshold=0.6] | 0.00698883 | -0.00232966 | 0.000463697 | 0 |
| LR_13[cache_size=All,treshold=0.7] | 0 | -0.000101011 | -4.04044e-06 | 0 |
| LR_13[cache_size=All,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_13[cache_size=All,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_14[cache_size=0.001,treshold=0.3] | 0 | 0 | 0 | 0 |
| LR_14[cache_size=0.001,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_14[cache_size=0.001,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_14[cache_size=0.001,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_14[cache_size=0.001,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_14[cache_size=0.001,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_14[cache_size=All,treshold=0.3] | 0.00765439 | -0.00362421 | 0.000956058 | 0.000303024 |
| LR_14[cache_size=All,treshold=0.5] | 0.00798742 | -0.0027494 | 0.000578826 | 0 |
| LR_14[cache_size=All,treshold=0.6] | 0.00815363 | -0.00216326 | 0.000490321 | 0 |
| LR_14[cache_size=All,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_14[cache_size=All,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_14[cache_size=All,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_15[cache_size=0.001,treshold=0.3] | 0 | 0 | 0 | 0 |
| LR_15[cache_size=0.001,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_15[cache_size=0.001,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_15[cache_size=0.001,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_15[cache_size=0.001,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_15[cache_size=0.001,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_15[cache_size=All,treshold=0.3] | 0.00732159 | -0.00362421 | 0.000975453 | 0.000303024 |
| LR_15[cache_size=All,treshold=0.5] | 0.00798742 | -0.0027494 | 0.000577169 | 0 |
| LR_15[cache_size=All,treshold=0.6] | 0.00798723 | -0.00266247 | 0.00045704 | 0 |
| LR_15[cache_size=All,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_15[cache_size=All,treshold=0.8] | 0 | -0.000101011 | -4.04044e-06 | 0 |
| LR_15[cache_size=All,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.001,treshold=0.3] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.001,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.001,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.001,treshold=0.7] | 0 | -0.0001001 | -2.002e-05 | 0 |
| LR_7[cache_size=0.001,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.001,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=All,treshold=0.3] | 0.00499176 | -0.0038742 | 0.000645072 | 0.000303024 |
| LR_7[cache_size=All,treshold=0.5] | 0.00981787 | -0.00399918 | 0.000555027 | 0.000101009 |
| LR_7[cache_size=All,treshold=0.6] | 0.00532482 | -0.00188883 | 0.000320982 | 0 |
| LR_7[cache_size=All,treshold=0.7] | 0.00149761 | -0.00155551 | -9.70986e-05 | 0 |
| LR_7[cache_size=All,treshold=0.8] | 0.000555525 | -0.000888862 | -1.58246e-05 | 0 |
| LR_7[cache_size=All,treshold=0.9] | 0.000124961 | -0.000249935 | -3.27375e-05 | 0 |
| LR_8[cache_size=0.001,treshold=0.3] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.001,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.001,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.001,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.001,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.001,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=All,treshold=0.3] | 0.00549094 | -0.0038742 | 0.000693896 | 0.000303024 |
| LR_8[cache_size=All,treshold=0.5] | 0.00998427 | -0.00399918 | 0.000548179 | 0.000101009 |
| LR_8[cache_size=All,treshold=0.6] | 0.00582402 | -0.00188883 | 0.000281043 | 0 |
| LR_8[cache_size=All,treshold=0.7] | 0.00149761 | -0.00166662 | -8.65525e-05 | 0 |
| LR_8[cache_size=All,treshold=0.8] | 0.00066663 | -0.000888862 | -1.6379e-05 | 0 |
| LR_8[cache_size=All,treshold=0.9] | 0.000124961 | -0.000249935 | -3.27373e-05 | 0 |
| LR_9[cache_size=0.001,treshold=0.3] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.001,treshold=0.5] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.001,treshold=0.6] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.001,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.001,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.001,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=All,treshold=0.3] | 0.00499176 | -0.00362425 | 0.000674895 | 0.000303024 |
| LR_9[cache_size=All,treshold=0.5] | 0.00965147 | -0.00399918 | 0.0005532 | 0.000101009 |
| LR_9[cache_size=All,treshold=0.6] | 0.00482562 | -0.00188883 | 0.000285484 | 0 |
| LR_9[cache_size=All,treshold=0.7] | 0.00133121 | -0.00166662 | -9.98647e-05 | 0 |
| LR_9[cache_size=All,treshold=0.8] | 0.00066663 | -0.000888862 | -9.16771e-06 | 0 |
| LR_9[cache_size=All,treshold=0.9] | 0.000124961 | -0.000249935 | -3.27375e-05 | 0 |
| LR_10[cache_size=0.01,treshold=0.3] | 0.000303024 | -0.000202021 | 0.000101009 | 0.000101012 |
| LR_10[cache_size=0.01,treshold=0.5] | 0.000303024 | -0.000202021 | 0.000101009 | 0.000101012 |
| LR_10[cache_size=0.01,treshold=0.6] | 0.000303024 | -0.000202021 | 0.000101009 | 0.000101012 |
| LR_10[cache_size=0.01,treshold=0.7] | 0 | -0.000101011 | -4.04041e-05 | 0 |
| LR_10[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_10[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_11[cache_size=0.01,treshold=0.3] | 0.000404032 | -0.000202021 | 0.000121211 | 0.000101012 |
| LR_11[cache_size=0.01,treshold=0.5] | 0.000303024 | -0.000202021 | 8.08066e-05 | 0.000101011 |
| LR_11[cache_size=0.01,treshold=0.6] | 0.000202016 | -0.000202021 | 4.04031e-05 | 0.000101009 |
| LR_11[cache_size=0.01,treshold=0.7] | 0.000202019 | 0 | 6.06053e-05 | 0 |
| LR_11[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_11[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_12[cache_size=0.01,treshold=0.3] | 0.000303024 | -0.000202021 | 0.000101009 | 0.000101012 |
| LR_12[cache_size=0.01,treshold=0.5] | 0.000303024 | -0.000202021 | 8.08066e-05 | 0.000101011 |
| LR_12[cache_size=0.01,treshold=0.6] | 0.000202016 | -0.000202021 | 4.04031e-05 | 0.000101009 |
| LR_12[cache_size=0.01,treshold=0.7] | 0.000202019 | 0 | 6.06053e-05 | 0 |
| LR_12[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_12[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_13[cache_size=0.01,treshold=0.3] | 0.000303024 | -0.000202021 | 0.000101009 | 0.000101012 |
| LR_13[cache_size=0.01,treshold=0.5] | 0.000303024 | -0.000202021 | 0.000101009 | 0.000101012 |
| LR_13[cache_size=0.01,treshold=0.6] | 0.000303024 | -0.000202021 | 0.000101009 | 0.000101012 |
| LR_13[cache_size=0.01,treshold=0.7] | 0 | -0.000101011 | -4.04041e-05 | 0 |
| LR_13[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_13[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_14[cache_size=0.01,treshold=0.3] | 0.000404032 | -0.000202021 | 0.000121211 | 0.000101012 |
| LR_14[cache_size=0.01,treshold=0.5] | 0.000303024 | -0.000202021 | 8.08066e-05 | 0.000101011 |
| LR_14[cache_size=0.01,treshold=0.6] | 0.000202016 | -0.000202021 | 4.04031e-05 | 0.000101009 |
| LR_14[cache_size=0.01,treshold=0.7] | 0.000202019 | 0 | 0.00010101 | 0.000101011 |
| LR_14[cache_size=0.01,treshold=0.8] | 0 | -0.000101012 | -2.02025e-05 | 0 |
| LR_14[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_15[cache_size=0.01,treshold=0.3] | 0.000303024 | -0.000202021 | 0.000101009 | 0.000101012 |
| LR_15[cache_size=0.01,treshold=0.5] | 0.000303024 | -0.000202021 | 8.08066e-05 | 0.000101011 |
| LR_15[cache_size=0.01,treshold=0.6] | 0.000202016 | -0.000202021 | 4.04031e-05 | 0.000101009 |
| LR_15[cache_size=0.01,treshold=0.7] | 0.000202019 | 0 | 0.00010101 | 0.000101011 |
| LR_15[cache_size=0.01,treshold=0.8] | 0 | -0.000101011 | -4.04041e-05 | 0 |
| LR_15[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.01,treshold=0.3] | 0.000303024 | -0.000202021 | 0.000101009 | 0.000101012 |
| LR_7[cache_size=0.01,treshold=0.5] | 0.000303024 | -0.000202021 | 0.000101009 | 0.000101012 |
| LR_7[cache_size=0.01,treshold=0.6] | 0.000303024 | -0.000202021 | 0.000101009 | 0.000101012 |
| LR_7[cache_size=0.01,treshold=0.7] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.01,treshold=0.3] | 0.000404032 | -0.000202021 | 0.000121211 | 0.000101012 |
| LR_8[cache_size=0.01,treshold=0.5] | 0.000303024 | -0.000202021 | 0.000101009 | 0.000101012 |
| LR_8[cache_size=0.01,treshold=0.6] | 0.000202016 | -0.000202021 | 4.04031e-05 | 0.000101009 |
| LR_8[cache_size=0.01,treshold=0.7] | 0.000202019 | 0 | 0.000101009 | 0.000101011 |
| LR_8[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.01,treshold=0.3] | 0.000303024 | -0.000202021 | 0.000101009 | 0.000101012 |
| LR_9[cache_size=0.01,treshold=0.5] | 0.000303024 | -0.000202021 | 0.000101009 | 0.000101012 |
| LR_9[cache_size=0.01,treshold=0.6] | 0.000202016 | -0.00010101 | 8.08077e-05 | 0.000101011 |
| LR_9[cache_size=0.01,treshold=0.7] | 0.000202019 | 0 | 0.000101009 | 0.000101011 |
| LR_9[cache_size=0.01,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.01,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_10[cache_size=0.1,treshold=0.3] | 0.000777762 | -0.00211105 | 0.000133324 | 0.000666628 |
| LR_10[cache_size=0.1,treshold=0.5] | 0.000999978 | -0.000888862 | 0.000288878 | 0.000555544 |
| LR_10[cache_size=0.1,treshold=0.6] | 0.000555523 | -0.000888862 | -2.22221e-05 | 0.000111109 |
| LR_10[cache_size=0.1,treshold=0.7] | 0.000777735 | -0.00099997 | -2.22259e-05 | 0.000111105 |
| LR_10[cache_size=0.1,treshold=0.8] | 0.000111109 | -0.000111105 | 2.22218e-05 | 0 |
| LR_10[cache_size=0.1,treshold=0.9] | 0.000111109 | -0.000111109 | -2.22209e-05 | 0 |
| LR_11[cache_size=0.1,treshold=0.3] | 0.000777733 | -0.00211105 | 0.000111102 | 0.00066663 |
| LR_11[cache_size=0.1,treshold=0.5] | 0.000999978 | -0.00099997 | 0.000266657 | 0.000555544 |
| LR_11[cache_size=0.1,treshold=0.6] | 0.000444435 | -0.000888862 | -4.4443e-05 | 0.000111109 |
| LR_11[cache_size=0.1,treshold=0.7] | 0.000777735 | -0.00099997 | -2.22259e-05 | 0.000111105 |
| LR_11[cache_size=0.1,treshold=0.8] | 0.000111109 | -0.000111105 | 2.22218e-05 | 0 |
| LR_11[cache_size=0.1,treshold=0.9] | 0.000111109 | -0.000111109 | -2.22209e-05 | 0 |
| LR_12[cache_size=0.1,treshold=0.3] | 0.000777762 | -0.00211105 | 0.000133324 | 0.000666628 |
| LR_12[cache_size=0.1,treshold=0.5] | 0.000999978 | -0.00099997 | 0.000266657 | 0.000555544 |
| LR_12[cache_size=0.1,treshold=0.6] | 0.000555523 | -0.000888862 | -6.66656e-05 | 0 |
| LR_12[cache_size=0.1,treshold=0.7] | 0.000777735 | -0.00111108 | -3.13551e-09 | 0 |
| LR_12[cache_size=0.1,treshold=0.8] | 0.000111105 | -0.000111109 | -2.22217e-05 | 0 |
| LR_12[cache_size=0.1,treshold=0.9] | 0.000111109 | -0.000111109 | -2.22209e-05 | 0 |
| LR_13[cache_size=0.1,treshold=0.3] | 0.00122215 | -0.00222216 | 6.66594e-05 | 0.000333327 |
| LR_13[cache_size=0.1,treshold=0.5] | 0.00133326 | -0.000777754 | 0.000399985 | 0.000777762 |
| LR_13[cache_size=0.1,treshold=0.6] | 0.00111109 | -0.00099997 | 0.000355539 | 0.00044442 |
| LR_13[cache_size=0.1,treshold=0.7] | 0.000555525 | -0.00233326 | -0.000511093 | 0 |
| LR_13[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_13[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_14[cache_size=0.1,treshold=0.3] | 0.00122215 | -0.00222216 | 8.88804e-05 | 0.000333327 |
| LR_14[cache_size=0.1,treshold=0.5] | 0.00111105 | -0.000777754 | 0.000355543 | 0.000666653 |
| LR_14[cache_size=0.1,treshold=0.6] | 0.0012222 | -0.000666647 | 0.000399981 | 0.000555525 |
| LR_14[cache_size=0.1,treshold=0.7] | 0.000777735 | -0.00233326 | -0.000333324 | 0.000111109 |
| LR_14[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_14[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_15[cache_size=0.1,treshold=0.3] | 0.00122215 | -0.00222216 | 8.88804e-05 | 0.000333327 |
| LR_15[cache_size=0.1,treshold=0.5] | 0.00111105 | -0.000777754 | 0.000355543 | 0.000666653 |
| LR_15[cache_size=0.1,treshold=0.6] | 0.0012222 | -0.000777754 | 0.00037776 | 0.000555525 |
| LR_15[cache_size=0.1,treshold=0.7] | 0.00066663 | -0.00222216 | -0.000333324 | 0.000111109 |
| LR_15[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_15[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.3] | 0.000777733 | -0.00211105 | 8.88807e-05 | 0.00066663 |
| LR_7[cache_size=0.1,treshold=0.5] | 0.0013333 | -0.000888862 | 0.000399983 | 0.000222218 |
| LR_7[cache_size=0.1,treshold=0.6] | 0.000666652 | -0.00099997 | -1.65414e-09 | 0 |
| LR_7[cache_size=0.1,treshold=0.7] | 0.00066663 | -0.00155551 | -0.000155551 | 0.000111109 |
| LR_7[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.1,treshold=0.3] | 0.00111105 | -0.00211105 | 0.000133322 | 0.000555543 |
| LR_8[cache_size=0.1,treshold=0.5] | 0.0013333 | -0.000888862 | 0.000511088 | 0.000555525 |
| LR_8[cache_size=0.1,treshold=0.6] | 0.00077776 | -0.00099997 | 0.000111107 | 0.000333314 |
| LR_8[cache_size=0.1,treshold=0.7] | 0.000999946 | -0.000666647 | 0.000111102 | 0.000111105 |
| LR_8[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.1,treshold=0.3] | 0.00111105 | -0.00211105 | 0.000155543 | 0.00066663 |
| LR_9[cache_size=0.1,treshold=0.5] | 0.0012222 | -0.000666647 | 0.00053331 | 0.000555525 |
| LR_9[cache_size=0.1,treshold=0.6] | 0.000888869 | -0.00111108 | 0.000133328 | 0.000333314 |
| LR_9[cache_size=0.1,treshold=0.7] | 0.000999946 | -0.000777754 | 8.88818e-05 | 0 |
| LR_9[cache_size=0.1,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.1,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_10[cache_size=0.2,treshold=0.3] | 0.00349909 | -0.00424912 | -0.000724897 | -0.000124961 |
| LR_10[cache_size=0.2,treshold=0.5] | 0.00149954 | -0.00312436 | -0.000449951 | 0.000249922 |
| LR_10[cache_size=0.2,treshold=0.6] | 0.00299907 | -0.00299938 | -8.26455e-08 | 0.000249922 |
| LR_10[cache_size=0.2,treshold=0.7] | 0.00149954 | -0.00112477 | 0.000349862 | 0.000374903 |
| LR_10[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_10[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_11[cache_size=0.2,treshold=0.3] | 0.00349909 | -0.00424912 | -0.00074989 | -0.000124961 |
| LR_11[cache_size=0.2,treshold=0.5] | 0.0016245 | -0.00274943 | -0.000324982 | 0.000374883 |
| LR_11[cache_size=0.2,treshold=0.6] | 0.00274915 | -0.00312436 | -7.50634e-05 | 0.000374883 |
| LR_11[cache_size=0.2,treshold=0.7] | 0.00149954 | -0.00124974 | 0.000324872 | 0.000749805 |
| LR_11[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_11[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_12[cache_size=0.2,treshold=0.3] | 0.00349909 | -0.00412415 | -0.000749887 | -0.000249923 |
| LR_12[cache_size=0.2,treshold=0.5] | 0.00137464 | -0.00262446 | -0.000324979 | 0.000499844 |
| LR_12[cache_size=0.2,treshold=0.6] | 0.00274915 | -0.00312436 | -2.50753e-05 | 0.000374883 |
| LR_12[cache_size=0.2,treshold=0.7] | 0.00137458 | -0.000999794 | 0.000374866 | 0.000749805 |
| LR_12[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_12[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_13[cache_size=0.2,treshold=0.3] | 0.00324916 | -0.00487399 | -0.00092486 | 0 |
| LR_13[cache_size=0.2,treshold=0.5] | 0.00124968 | -0.00324933 | -0.000624897 | -0.000124961 |
| LR_13[cache_size=0.2,treshold=0.6] | 0.00174946 | -0.00262446 | -0.000524918 | -0.000374883 |
| LR_13[cache_size=0.2,treshold=0.7] | 0.00087473 | -0.000249948 | 0.000324899 | 0.000374883 |
| LR_13[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_13[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_14[cache_size=0.2,treshold=0.3] | 0.00324916 | -0.00487399 | -0.00092486 | 0 |
| LR_14[cache_size=0.2,treshold=0.5] | 0.00124968 | -0.00324933 | -0.00064989 | -0.000124961 |
| LR_14[cache_size=0.2,treshold=0.6] | 0.00174946 | -0.00262446 | -0.000399954 | 0 |
| LR_14[cache_size=0.2,treshold=0.7] | 0.000749805 | -0.000374918 | 0.000249918 | 0.000374883 |
| LR_14[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_14[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_15[cache_size=0.2,treshold=0.3] | 0.00324916 | -0.00487399 | -0.000874876 | 0.000124961 |
| LR_15[cache_size=0.2,treshold=0.5] | 0.00137464 | -0.0033743 | -0.000699878 | -0.000249922 |
| LR_15[cache_size=0.2,treshold=0.6] | 0.0016245 | -0.00262446 | -0.000449938 | -0.000124961 |
| LR_15[cache_size=0.2,treshold=0.7] | 0.000874773 | -0.000374918 | 0.000174943 | 0 |
| LR_15[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_15[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.3] | 0.00374903 | -0.00512394 | -0.000899861 | 0 |
| LR_7[cache_size=0.2,treshold=0.5] | 0.00174955 | -0.0033743 | -0.000449947 | -0.000374883 |
| LR_7[cache_size=0.2,treshold=0.6] | 0.00187442 | -0.00212456 | -0.000274984 | 0.000124961 |
| LR_7[cache_size=0.2,treshold=0.7] | 0.0016245 | -0.00149969 | 0.000174909 | 0.000124968 |
| LR_7[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_7[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.2,treshold=0.3] | 0.00362406 | -0.00512394 | -0.000899862 | 0.000249923 |
| LR_8[cache_size=0.2,treshold=0.5] | 0.00187451 | -0.0033743 | -0.000449946 | -0.000249922 |
| LR_8[cache_size=0.2,treshold=0.6] | 0.00174946 | -0.00224954 | -0.000349965 | 0.000124961 |
| LR_8[cache_size=0.2,treshold=0.7] | 0.00124961 | -0.00137472 | 0.000199907 | 0.000249935 |
| LR_8[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.2,treshold=0.3] | 0.00362406 | -0.00512394 | -0.000949849 | 0.000124961 |
| LR_9[cache_size=0.2,treshold=0.5] | 0.00199948 | -0.0033743 | -0.00039996 | -0.000249922 |
| LR_9[cache_size=0.2,treshold=0.6] | 0.00174946 | -0.00224954 | -0.00032497 | 0.000124961 |
| LR_9[cache_size=0.2,treshold=0.7] | 0.00112465 | -0.00137472 | 0.000174917 | 0.000249935 |
| LR_9[cache_size=0.2,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.2,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_10[cache_size=0.4,treshold=0.3] | 0.0071554 | -0.000665599 | 0.00256262 | 0.00199709 |
| LR_10[cache_size=0.4,treshold=0.5] | 0.00532482 | 0 | 0.00203006 | 0.000831999 |
| LR_10[cache_size=0.4,treshold=0.6] | 0.00632323 | -0.00282888 | 0.00189691 | 0.0013312 |
| LR_10[cache_size=0.4,treshold=0.7] | 0.00482562 | -0.00183031 | 0.000698878 | -0.000499272 |
| LR_10[cache_size=0.4,treshold=0.8] | 0.000166405 | -0.000166424 | -2.16048e-09 | 0 |
| LR_10[cache_size=0.4,treshold=0.9] | 0.000166401 | -0.000166405 | -6.65592e-05 | -0.000166392 |
| LR_11[cache_size=0.4,treshold=0.3] | 0.00832023 | -0.0004992 | 0.00279559 | 0.00216351 |
| LR_11[cache_size=0.4,treshold=0.5] | 0.00515842 | -0.000166424 | 0.00186365 | 0.0004992 |
| LR_11[cache_size=0.4,treshold=0.6] | 0.00648963 | -0.00332809 | 0.00178043 | 0.001664 |
| LR_11[cache_size=0.4,treshold=0.7] | 0.00565762 | -0.00183066 | 0.000765402 | -0.00099839 |
| LR_11[cache_size=0.4,treshold=0.8] | 0 | -0.0001664 | -6.65584e-05 | 0 |
| LR_11[cache_size=0.4,treshold=0.9] | 0 | -0.000166392 | -3.32784e-05 | 0 |
| LR_12[cache_size=0.4,treshold=0.3] | 0.00782102 | -0.0013312 | 0.00252935 | 0.00216351 |
| LR_12[cache_size=0.4,treshold=0.5] | 0.00515842 | -0.000166424 | 0.00189693 | 0.000665599 |
| LR_12[cache_size=0.4,treshold=0.6] | 0.00665603 | -0.00316169 | 0.00183036 | 0.0013312 |
| LR_12[cache_size=0.4,treshold=0.7] | 0.00549122 | -0.00232994 | 0.000632267 | -0.000499214 |
| LR_12[cache_size=0.4,treshold=0.8] | 0 | -0.0001664 | -6.65584e-05 | 0 |
| LR_12[cache_size=0.4,treshold=0.9] | 0 | -0.000166392 | -3.32784e-05 | 0 |
| LR_13[cache_size=0.4,treshold=0.3] | 0.0063229 | -0.0003328 | 0.00262909 | 0.00149761 |
| LR_13[cache_size=0.4,treshold=0.5] | 0.00482562 | -0.002496 | 0.00159748 | 0.00116474 |
| LR_13[cache_size=0.4,treshold=0.6] | 0.00582402 | -0.00199685 | 0.00206336 | 0.00166424 |
| LR_13[cache_size=0.4,treshold=0.7] | 0.00482562 | -0.00282888 | -0.000232996 | -0.00149782 |
| LR_13[cache_size=0.4,treshold=0.8] | 0.000166401 | -0.0001664 | -3.32783e-05 | 0 |
| LR_13[cache_size=0.4,treshold=0.9] | 0.000166401 | -0.000166392 | 1.71664e-09 | 0 |
| LR_14[cache_size=0.4,treshold=0.3] | 0.0063229 | -0.0003328 | 0.00266237 | 0.00166401 |
| LR_14[cache_size=0.4,treshold=0.5] | 0.00482562 | -0.0026624 | 0.0015642 | 0.00116474 |
| LR_14[cache_size=0.4,treshold=0.6] | 0.00599043 | -0.00183045 | 0.0021632 | 0.00166424 |
| LR_14[cache_size=0.4,treshold=0.7] | 0.00499202 | -0.00249607 | -3.33202e-05 | -0.00166424 |
| LR_14[cache_size=0.4,treshold=0.8] | 0.000166401 | 0 | 3.32801e-05 | 0 |
| LR_14[cache_size=0.4,treshold=0.9] | 0.000166401 | -0.000166392 | 1.71664e-09 | 0 |
| LR_15[cache_size=0.4,treshold=0.3] | 0.00665568 | -0.0004992 | 0.0027955 | 0.00166401 |
| LR_15[cache_size=0.4,treshold=0.5] | 0.00482562 | -0.002496 | 0.00163076 | 0.00133114 |
| LR_15[cache_size=0.4,treshold=0.6] | 0.00582402 | -0.00183045 | 0.00203009 | 0.00183066 |
| LR_15[cache_size=0.4,treshold=0.7] | 0.00449282 | -0.00232966 | -2.05505e-08 | -0.000998544 |
| LR_15[cache_size=0.4,treshold=0.8] | 0.000166401 | -0.000166392 | 1.71664e-09 | 0 |
| LR_15[cache_size=0.4,treshold=0.9] | 0.000166401 | -0.000166392 | 1.71664e-09 | 0 |
| LR_7[cache_size=0.4,treshold=0.3] | 0.00815321 | -0.00116497 | 0.00292857 | 0.000665599 |
| LR_7[cache_size=0.4,treshold=0.5] | 0.00482562 | -0.0031616 | 0.00183046 | 0.00149782 |
| LR_7[cache_size=0.4,treshold=0.6] | 0.00615683 | -0.00183045 | 0.00222974 | 0.00133139 |
| LR_7[cache_size=0.4,treshold=0.7] | 0.0004992 | -0.000332809 | 6.65599e-05 | 0 |
| LR_7[cache_size=0.4,treshold=0.8] | 0.000332801 | -0.000166405 | 9.41326e-10 | 0 |
| LR_7[cache_size=0.4,treshold=0.9] | 0.000332801 | -0.000166405 | 3.32809e-05 | 0 |
| LR_8[cache_size=0.4,treshold=0.3] | 0.00865239 | -0.00133139 | 0.00309496 | 0.00149761 |
| LR_8[cache_size=0.4,treshold=0.5] | 0.00499214 | -0.003328 | 0.00186373 | 0.00166392 |
| LR_8[cache_size=0.4,treshold=0.6] | 0.00615683 | -0.00149764 | 0.00246271 | 0.00149782 |
| LR_8[cache_size=0.4,treshold=0.7] | 0.0003328 | -0.000166405 | 6.09054e-10 | 0 |
| LR_8[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_8[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.4,treshold=0.3] | 0.00865239 | -0.00133139 | 0.00306168 | 0.0011648 |
| LR_9[cache_size=0.4,treshold=0.5] | 0.00515854 | -0.003328 | 0.00183044 | 0.00166392 |
| LR_9[cache_size=0.4,treshold=0.6] | 0.00615683 | -0.00166405 | 0.00242942 | 0.00116497 |
| LR_9[cache_size=0.4,treshold=0.7] | 0.0003328 | -0.000166424 | -3.32842e-05 | -0.000166392 |
| LR_9[cache_size=0.4,treshold=0.8] | 0 | 0 | 0 | 0 |
| LR_9[cache_size=0.4,treshold=0.9] | 0 | 0 | 0 | 0 |
| Offline Clock 1st iteration | 0 | 0 | 0 | 0 |
| Offline Clock 2nd iteration | 9.81851 | 0.0001001 | 2.73143 | 0.859981 |
| Zipf Optimal Distribution | 0.00682239 | -0.00499176 | 0.000561115 | 0.000101012 |
Model Summaries Plot
Miss Ratio Reduced (%)
Promotion Reduced (%)
Promotion vs Miss Ratio
Cache Size All
Cache Size 0.001
Cache Size 0.01
Cache Size 0.1
Cache Size 0.2
Cache Size 0.4
Model Classification Report
LR_10_0.001
precision recall f1-score support
0 0.02 0.57 0.04 1026
1 1.00 0.94 0.97 499456
accuracy 0.94 500482
macro avg 0.51 0.76 0.50 500482
weighted avg 1.00 0.94 0.97 500482
Accuracy: 0.9369647659656092
precision recall f1-score support
0 0.02 0.57 0.04 1026
1 1.00 0.94 0.97 499456
accuracy 0.94 500482
macro avg 0.51 0.76 0.50 500482
weighted avg 1.00 0.94 0.97 500482
Accuracy: 0.9369647659656092
LR_10_0.01
precision recall f1-score support
0 0.19 0.52 0.28 98473
1 0.99 0.96 0.97 4925407
accuracy 0.95 5023880
macro avg 0.59 0.74 0.63 5023880
weighted avg 0.97 0.95 0.96 5023880
Accuracy: 0.947614194606559
precision recall f1-score support
0 0.19 0.52 0.28 98473
1 0.99 0.96 0.97 4925407
accuracy 0.95 5023880
macro avg 0.59 0.74 0.63 5023880
weighted avg 0.97 0.95 0.96 5023880
Accuracy: 0.947614194606559
LR_10_0.1
precision recall f1-score support
0 0.41 0.57 0.48 8019514
1 0.91 0.85 0.88 42910358
accuracy 0.80 50929872
macro avg 0.66 0.71 0.68 50929872
weighted avg 0.83 0.80 0.81 50929872
Accuracy: 0.8026812240957527
precision recall f1-score support
0 0.41 0.57 0.48 8019514
1 0.91 0.85 0.88 42910358
accuracy 0.80 50929872
macro avg 0.66 0.71 0.68 50929872
weighted avg 0.83 0.80 0.81 50929872
Accuracy: 0.8026812240957527
LR_10_0.2
precision recall f1-score support
0 0.55 0.59 0.57 25620627
1 0.85 0.83 0.84 73187446
accuracy 0.77 98808073
macro avg 0.70 0.71 0.70 98808073
weighted avg 0.77 0.77 0.77 98808073
Accuracy: 0.7659223351112211
precision recall f1-score support
0 0.55 0.59 0.57 25620627
1 0.85 0.83 0.84 73187446
accuracy 0.77 98808073
macro avg 0.70 0.71 0.70 98808073
weighted avg 0.77 0.77 0.77 98808073
Accuracy: 0.7659223351112211
LR_10_0.4
precision recall f1-score support
0 0.62 0.68 0.65 66028440
1 0.78 0.73 0.75 103663142
accuracy 0.71 169691582
macro avg 0.70 0.71 0.70 169691582
weighted avg 0.72 0.71 0.71 169691582
Accuracy: 0.7110567924341704
precision recall f1-score support
0 0.62 0.68 0.65 66028440
1 0.78 0.73 0.75 103663142
accuracy 0.71 169691582
macro avg 0.70 0.71 0.70 169691582
weighted avg 0.72 0.71 0.71 169691582
Accuracy: 0.7110567924341704
LR_10_All
precision recall f1-score support
0 0.40 0.70 0.50 99768080
1 0.80 0.53 0.64 225185809
accuracy 0.58 324953889
macro avg 0.60 0.61 0.57 324953889
weighted avg 0.67 0.58 0.60 324953889
Accuracy: 0.5798402800466254
precision recall f1-score support
0 0.40 0.70 0.50 99768080
1 0.80 0.53 0.64 225185809
accuracy 0.58 324953889
macro avg 0.60 0.61 0.57 324953889
weighted avg 0.67 0.58 0.60 324953889
Accuracy: 0.5798402800466254
LR_11_0.001
precision recall f1-score support
0 0.01 0.66 0.01 1026
1 1.00 0.75 0.86 499456
accuracy 0.75 500482
macro avg 0.50 0.71 0.43 500482
weighted avg 1.00 0.75 0.86 500482
Accuracy: 0.752214864870265
precision recall f1-score support
0 0.01 0.66 0.01 1026
1 1.00 0.75 0.86 499456
accuracy 0.75 500482
macro avg 0.50 0.71 0.43 500482
weighted avg 1.00 0.75 0.86 500482
Accuracy: 0.752214864870265
LR_11_0.01
precision recall f1-score support
0 0.06 0.59 0.11 98473
1 0.99 0.81 0.89 4925407
accuracy 0.81 5023880
macro avg 0.53 0.70 0.50 5023880
weighted avg 0.97 0.81 0.88 5023880
Accuracy: 0.8104256072995374
precision recall f1-score support
0 0.06 0.59 0.11 98473
1 0.99 0.81 0.89 4925407
accuracy 0.81 5023880
macro avg 0.53 0.70 0.50 5023880
weighted avg 0.97 0.81 0.88 5023880
Accuracy: 0.8104256072995374
LR_11_0.1
precision recall f1-score support
0 0.41 0.57 0.47 8019514
1 0.91 0.84 0.88 42910358
accuracy 0.80 50929872
macro avg 0.66 0.71 0.68 50929872
weighted avg 0.83 0.80 0.81 50929872
Accuracy: 0.8009982235965565
precision recall f1-score support
0 0.41 0.57 0.47 8019514
1 0.91 0.84 0.88 42910358
accuracy 0.80 50929872
macro avg 0.66 0.71 0.68 50929872
weighted avg 0.83 0.80 0.81 50929872
Accuracy: 0.8009982235965565
LR_11_0.2
precision recall f1-score support
0 0.55 0.59 0.57 25620627
1 0.85 0.83 0.84 73187446
accuracy 0.77 98808073
macro avg 0.70 0.71 0.70 98808073
weighted avg 0.77 0.77 0.77 98808073
Accuracy: 0.767724131205352
precision recall f1-score support
0 0.55 0.59 0.57 25620627
1 0.85 0.83 0.84 73187446
accuracy 0.77 98808073
macro avg 0.70 0.71 0.70 98808073
weighted avg 0.77 0.77 0.77 98808073
Accuracy: 0.767724131205352
LR_11_0.4
precision recall f1-score support
0 0.62 0.68 0.65 66028440
1 0.78 0.73 0.75 103663142
accuracy 0.71 169691582
macro avg 0.70 0.71 0.70 169691582
weighted avg 0.72 0.71 0.71 169691582
Accuracy: 0.7109879911426602
precision recall f1-score support
0 0.62 0.68 0.65 66028440
1 0.78 0.73 0.75 103663142
accuracy 0.71 169691582
macro avg 0.70 0.71 0.70 169691582
weighted avg 0.72 0.71 0.71 169691582
Accuracy: 0.7109998774128937
LR_11_All
precision recall f1-score support
0 0.39 0.70 0.50 99768080
1 0.80 0.53 0.63 225185809
accuracy 0.58 324953889
macro avg 0.60 0.61 0.57 324953889
weighted avg 0.67 0.58 0.59 324953889
Accuracy: 0.5788021666052441
precision recall f1-score support
0 0.39 0.70 0.50 99768080
1 0.80 0.53 0.63 225185809
accuracy 0.58 324953889
macro avg 0.60 0.61 0.57 324953889
weighted avg 0.67 0.58 0.59 324953889
Accuracy: 0.5788021666052441
LR_12_0.001
precision recall f1-score support
0 0.01 0.61 0.02 1026
1 1.00 0.85 0.92 499456
accuracy 0.85 500482
macro avg 0.50 0.73 0.47 500482
weighted avg 1.00 0.85 0.92 500482
Accuracy: 0.8518348312227013
precision recall f1-score support
0 0.01 0.61 0.02 1026
1 1.00 0.85 0.92 499456
accuracy 0.85 500482
macro avg 0.50 0.73 0.47 500482
weighted avg 1.00 0.85 0.92 500482
Accuracy: 0.8518348312227013
LR_12_0.01
precision recall f1-score support
0 0.07 0.57 0.13 98473
1 0.99 0.85 0.92 4925407
accuracy 0.85 5023880
macro avg 0.53 0.71 0.52 5023880
weighted avg 0.97 0.85 0.90 5023880
Accuracy: 0.84876191310302
precision recall f1-score support
0 0.07 0.57 0.13 98473
1 0.99 0.85 0.92 4925407
accuracy 0.85 5023880
macro avg 0.53 0.71 0.52 5023880
weighted avg 0.97 0.85 0.90 5023880
Accuracy: 0.84876191310302
LR_12_0.1
precision recall f1-score support
0 0.41 0.57 0.48 8019514
1 0.91 0.85 0.88 42910358
accuracy 0.80 50929872
macro avg 0.66 0.71 0.68 50929872
weighted avg 0.83 0.80 0.82 50929872
Accuracy: 0.8031211034655653
precision recall f1-score support
0 0.41 0.57 0.48 8019514
1 0.91 0.85 0.88 42910358
accuracy 0.80 50929872
macro avg 0.66 0.71 0.68 50929872
weighted avg 0.83 0.80 0.82 50929872
Accuracy: 0.8031211034655653
LR_12_0.2
precision recall f1-score support
0 0.55 0.58 0.57 25620627
1 0.85 0.83 0.84 73187446
accuracy 0.77 98808073
macro avg 0.70 0.71 0.71 98808073
weighted avg 0.77 0.77 0.77 98808073
Accuracy: 0.7696034412086956
precision recall f1-score support
0 0.55 0.58 0.57 25620627
1 0.85 0.83 0.84 73187446
accuracy 0.77 98808073
macro avg 0.70 0.71 0.71 98808073
weighted avg 0.77 0.77 0.77 98808073
Accuracy: 0.7696034412086956
LR_12_0.4
precision recall f1-score support
0 0.62 0.68 0.65 66028440
1 0.78 0.73 0.75 103663142
accuracy 0.71 169691582
macro avg 0.70 0.71 0.70 169691582
weighted avg 0.72 0.71 0.71 169691582
Accuracy: 0.7110399618998189
precision recall f1-score support
0 0.62 0.68 0.65 66028440
1 0.78 0.73 0.75 103663142
accuracy 0.71 169691582
macro avg 0.70 0.71 0.70 169691582
weighted avg 0.72 0.71 0.71 169691582
Accuracy: 0.7110399618998189
LR_12_All
precision recall f1-score support
0 0.39 0.70 0.50 99768080
1 0.80 0.53 0.63 225185809
accuracy 0.58 324953889
macro avg 0.60 0.61 0.57 324953889
weighted avg 0.67 0.58 0.59 324953889
Accuracy: 0.5785499215859515
precision recall f1-score support
0 0.39 0.70 0.50 99768080
1 0.80 0.53 0.63 225185809
accuracy 0.58 324953889
macro avg 0.60 0.61 0.57 324953889
weighted avg 0.67 0.58 0.59 324953889
Accuracy: 0.5785499215859515
LR_13_0.001
precision recall f1-score support
0 0.02 0.57 0.04 1026
1 1.00 0.94 0.97 499456
accuracy 0.94 500482
macro avg 0.51 0.76 0.50 500482
weighted avg 1.00 0.94 0.97 500482
Accuracy: 0.9365531627511079
precision recall f1-score support
0 0.02 0.57 0.04 1026
1 1.00 0.94 0.97 499456
accuracy 0.94 500482
macro avg 0.51 0.76 0.50 500482
weighted avg 1.00 0.94 0.97 500482
Accuracy: 0.9365531627511079
LR_13_0.01
precision recall f1-score support
0 0.19 0.52 0.28 98473
1 0.99 0.96 0.97 4925407
accuracy 0.95 5023880
macro avg 0.59 0.74 0.63 5023880
weighted avg 0.97 0.95 0.96 5023880
Accuracy: 0.9475303948342715
precision recall f1-score support
0 0.19 0.52 0.28 98473
1 0.99 0.96 0.97 4925407
accuracy 0.95 5023880
macro avg 0.59 0.74 0.63 5023880
weighted avg 0.97 0.95 0.96 5023880
Accuracy: 0.9475303948342715
LR_13_0.1
precision recall f1-score support
0 0.42 0.56 0.48 8019514
1 0.91 0.86 0.88 42910358
accuracy 0.81 50929872
macro avg 0.67 0.71 0.68 50929872
weighted avg 0.84 0.81 0.82 50929872
Accuracy: 0.8108006829469353
precision recall f1-score support
0 0.42 0.56 0.48 8019514
1 0.91 0.86 0.88 42910358
accuracy 0.81 50929872
macro avg 0.67 0.71 0.68 50929872
weighted avg 0.84 0.81 0.82 50929872
Accuracy: 0.8108006829469353
LR_13_0.2
precision recall f1-score support
0 0.53 0.60 0.56 25620627
1 0.85 0.81 0.83 73187446
accuracy 0.76 98808073
macro avg 0.69 0.71 0.70 98808073
weighted avg 0.77 0.76 0.76 98808073
Accuracy: 0.7579026260334011
precision recall f1-score support
0 0.53 0.60 0.56 25620627
1 0.85 0.81 0.83 73187446
accuracy 0.76 98808073
macro avg 0.69 0.71 0.70 98808073
weighted avg 0.77 0.76 0.76 98808073
Accuracy: 0.7579026260334011
LR_13_0.4
precision recall f1-score support
0 0.65 0.65 0.65 66028440
1 0.78 0.78 0.78 103663142
accuracy 0.73 169691582
macro avg 0.71 0.71 0.71 169691582
weighted avg 0.73 0.73 0.73 169691582
Accuracy: 0.7285107696149594
precision recall f1-score support
0 0.65 0.65 0.65 66028440
1 0.78 0.78 0.78 103663142
accuracy 0.73 169691582
macro avg 0.71 0.71 0.71 169691582
weighted avg 0.73 0.73 0.73 169691582
Accuracy: 0.7285107696149594
LR_13_All
precision recall f1-score support
0 0.38 0.56 0.45 99768080
1 0.75 0.60 0.67 225185809
accuracy 0.59 324953889
macro avg 0.57 0.58 0.56 324953889
weighted avg 0.64 0.59 0.60 324953889
Accuracy: 0.5896379716815761
precision recall f1-score support
0 0.38 0.56 0.45 99768080
1 0.75 0.60 0.67 225185809
accuracy 0.59 324953889
macro avg 0.57 0.58 0.56 324953889
weighted avg 0.64 0.59 0.60 324953889
Accuracy: 0.5896379716815761
LR_14_0.001
precision recall f1-score support
0 0.01 0.66 0.01 1026
1 1.00 0.75 0.86 499456
accuracy 0.75 500482
macro avg 0.50 0.71 0.43 500482
weighted avg 1.00 0.75 0.86 500482
Accuracy: 0.752214864870265
precision recall f1-score support
0 0.01 0.66 0.01 1026
1 1.00 0.75 0.86 499456
accuracy 0.75 500482
macro avg 0.50 0.71 0.43 500482
weighted avg 1.00 0.75 0.86 500482
Accuracy: 0.752214864870265
LR_14_0.01
precision recall f1-score support
0 0.06 0.59 0.11 98473
1 0.99 0.82 0.90 4925407
accuracy 0.82 5023880
macro avg 0.53 0.71 0.51 5023880
weighted avg 0.97 0.82 0.88 5023880
Accuracy: 0.8189315827607347
precision recall f1-score support
0 0.06 0.59 0.11 98473
1 0.99 0.82 0.90 4925407
accuracy 0.82 5023880
macro avg 0.53 0.71 0.51 5023880
weighted avg 0.97 0.82 0.88 5023880
Accuracy: 0.8189315827607347
LR_14_0.1
precision recall f1-score support
0 0.40 0.57 0.47 8019514
1 0.91 0.84 0.88 42910358
accuracy 0.80 50929872
macro avg 0.66 0.71 0.67 50929872
weighted avg 0.83 0.80 0.81 50929872
Accuracy: 0.7984757157842455
precision recall f1-score support
0 0.40 0.57 0.47 8019514
1 0.91 0.84 0.88 42910358
accuracy 0.80 50929872
macro avg 0.66 0.71 0.67 50929872
weighted avg 0.83 0.80 0.81 50929872
Accuracy: 0.7984757157842455
LR_14_0.2
precision recall f1-score support
0 0.53 0.60 0.56 25620627
1 0.85 0.81 0.83 73187446
accuracy 0.76 98808073
macro avg 0.69 0.70 0.70 98808073
weighted avg 0.77 0.76 0.76 98808073
Accuracy: 0.7577006081274351
precision recall f1-score support
0 0.53 0.60 0.56 25620627
1 0.85 0.81 0.83 73187446
accuracy 0.76 98808073
macro avg 0.69 0.70 0.70 98808073
weighted avg 0.77 0.76 0.76 98808073
Accuracy: 0.7577006081274351
LR_14_0.4
precision recall f1-score support
0 0.65 0.65 0.65 66028440
1 0.78 0.78 0.78 103663142
accuracy 0.73 169691582
macro avg 0.71 0.71 0.71 169691582
weighted avg 0.73 0.73 0.73 169691582
Accuracy: 0.7285412602258609
precision recall f1-score support
0 0.65 0.65 0.65 66028440
1 0.78 0.78 0.78 103663142
accuracy 0.73 169691582
macro avg 0.71 0.71 0.71 169691582
weighted avg 0.73 0.73 0.73 169691582
Accuracy: 0.7285412602258609
LR_14_All
precision recall f1-score support
0 0.38 0.56 0.45 99768080
1 0.75 0.60 0.67 225185809
accuracy 0.59 324953889
macro avg 0.57 0.58 0.56 324953889
weighted avg 0.64 0.59 0.60 324953889
Accuracy: 0.5899010643937854
precision recall f1-score support
0 0.38 0.56 0.45 99768080
1 0.75 0.60 0.67 225185809
accuracy 0.59 324953889
macro avg 0.57 0.58 0.56 324953889
weighted avg 0.64 0.59 0.60 324953889
Accuracy: 0.5899010643937854
LR_15_0.001
precision recall f1-score support
0 0.01 0.61 0.02 1026
1 1.00 0.85 0.92 499456
accuracy 0.85 500482
macro avg 0.50 0.73 0.47 500482
weighted avg 1.00 0.85 0.92 500482
Accuracy: 0.8517648986377132
precision recall f1-score support
0 0.01 0.61 0.02 1026
1 1.00 0.85 0.92 499456
accuracy 0.85 500482
macro avg 0.50 0.73 0.47 500482
weighted avg 1.00 0.85 0.92 500482
Accuracy: 0.8517648986377132
LR_15_0.01
precision recall f1-score support
0 0.08 0.57 0.13 98473
1 0.99 0.86 0.92 4925407
accuracy 0.86 5023880
macro avg 0.53 0.72 0.53 5023880
weighted avg 0.97 0.86 0.91 5023880
Accuracy: 0.8553002858348527
precision recall f1-score support
0 0.08 0.57 0.13 98473
1 0.99 0.86 0.92 4925407
accuracy 0.86 5023880
macro avg 0.53 0.72 0.53 5023880
weighted avg 0.97 0.86 0.91 5023880
Accuracy: 0.8553002858348527
LR_15_0.1
precision recall f1-score support
0 0.40 0.57 0.47 8019514
1 0.91 0.84 0.88 42910358
accuracy 0.80 50929872
macro avg 0.66 0.71 0.67 50929872
weighted avg 0.83 0.80 0.81 50929872
Accuracy: 0.7984756765145611
precision recall f1-score support
0 0.40 0.57 0.47 8019514
1 0.91 0.84 0.88 42910358
accuracy 0.80 50929872
macro avg 0.66 0.71 0.67 50929872
weighted avg 0.83 0.80 0.81 50929872
Accuracy: 0.7984756765145611
LR_15_0.2
precision recall f1-score support
0 0.53 0.60 0.56 25620627
1 0.85 0.81 0.83 73187446
accuracy 0.76 98808073
macro avg 0.69 0.71 0.70 98808073
weighted avg 0.77 0.76 0.76 98808073
Accuracy: 0.7579156108023684
precision recall f1-score support
0 0.53 0.60 0.56 25620627
1 0.85 0.81 0.83 73187446
accuracy 0.76 98808073
macro avg 0.69 0.71 0.70 98808073
weighted avg 0.77 0.76 0.76 98808073
Accuracy: 0.7579156108023684
LR_15_0.4
precision recall f1-score support
0 0.65 0.65 0.65 66028440
1 0.78 0.78 0.78 103663142
accuracy 0.73 169691582
macro avg 0.71 0.71 0.71 169691582
weighted avg 0.73 0.73 0.73 169691582
Accuracy: 0.7285153249381575
precision recall f1-score support
0 0.65 0.65 0.65 66028440
1 0.78 0.78 0.78 103663142
accuracy 0.73 169691582
macro avg 0.71 0.71 0.71 169691582
weighted avg 0.73 0.73 0.73 169691582
Accuracy: 0.7285153249381575
LR_15_All
precision recall f1-score support
0 0.38 0.56 0.45 99768080
1 0.75 0.61 0.67 225185809
accuracy 0.59 324953889
macro avg 0.57 0.58 0.56 324953889
weighted avg 0.64 0.59 0.61 324953889
Accuracy: 0.5901402275570242
precision recall f1-score support
0 0.38 0.56 0.45 99768080
1 0.75 0.61 0.67 225185809
accuracy 0.59 324953889
macro avg 0.57 0.58 0.56 324953889
weighted avg 0.64 0.59 0.61 324953889
Accuracy: 0.5901402275570242
LR_7_0.001
precision recall f1-score support
0 0.02 0.57 0.04 1026
1 1.00 0.94 0.97 499456
accuracy 0.94 500482
macro avg 0.51 0.76 0.50 500482
weighted avg 1.00 0.94 0.97 500482
Accuracy: 0.9368788487897667
precision recall f1-score support
0 0.02 0.57 0.04 1026
1 1.00 0.94 0.97 499456
accuracy 0.94 500482
macro avg 0.51 0.76 0.50 500482
weighted avg 1.00 0.94 0.97 500482
Accuracy: 0.9368788487897667
LR_7_0.01
precision recall f1-score support
0 0.19 0.52 0.28 98473
1 0.99 0.96 0.97 4925407
accuracy 0.95 5023880
macro avg 0.59 0.74 0.63 5023880
weighted avg 0.97 0.95 0.96 5023880
Accuracy: 0.9476126022118363
precision recall f1-score support
0 0.19 0.52 0.28 98473
1 0.99 0.96 0.97 4925407
accuracy 0.95 5023880
macro avg 0.59 0.74 0.63 5023880
weighted avg 0.97 0.95 0.96 5023880
Accuracy: 0.9476126022118363
LR_7_0.1
precision recall f1-score support
0 0.38 0.58 0.46 8019514
1 0.91 0.83 0.87 42910358
accuracy 0.79 50929872
macro avg 0.65 0.70 0.66 50929872
weighted avg 0.83 0.79 0.80 50929872
Accuracy: 0.7869018009705581
precision recall f1-score support
0 0.38 0.58 0.46 8019514
1 0.91 0.83 0.87 42910358
accuracy 0.79 50929872
macro avg 0.65 0.70 0.66 50929872
weighted avg 0.83 0.79 0.80 50929872
Accuracy: 0.7869018009705581
LR_7_0.2
precision recall f1-score support
0 0.50 0.61 0.55 25620627
1 0.85 0.79 0.82 73187446
accuracy 0.74 98808073
macro avg 0.68 0.70 0.69 98808073
weighted avg 0.76 0.74 0.75 98808073
Accuracy: 0.742507527699685
precision recall f1-score support
0 0.50 0.61 0.55 25620627
1 0.85 0.79 0.82 73187446
accuracy 0.74 98808073
macro avg 0.68 0.70 0.69 98808073
weighted avg 0.76 0.74 0.75 98808073
Accuracy: 0.742507527699685
LR_7_0.4
precision recall f1-score support
0 0.67 0.64 0.65 66028440
1 0.78 0.80 0.79 103663142
accuracy 0.74 169691582
macro avg 0.72 0.72 0.72 169691582
weighted avg 0.73 0.74 0.73 169691582
Accuracy: 0.7354215956334239
precision recall f1-score support
0 0.67 0.64 0.65 66028440
1 0.78 0.80 0.79 103663142
accuracy 0.74 169691582
macro avg 0.72 0.72 0.72 169691582
weighted avg 0.73 0.74 0.73 169691582
Accuracy: 0.7354215956334239
LR_7_All
precision recall f1-score support
0 0.44 0.58 0.50 99768080
1 0.78 0.68 0.73 225185809
accuracy 0.65 324953889
macro avg 0.61 0.63 0.62 324953889
weighted avg 0.68 0.65 0.66 324953889
Accuracy: 0.6482772452678663
precision recall f1-score support
0 0.44 0.58 0.50 99768080
1 0.78 0.68 0.73 225185809
accuracy 0.65 324953889
macro avg 0.61 0.63 0.62 324953889
weighted avg 0.68 0.65 0.66 324953889
Accuracy: 0.6482772452678663
LR_8_0.001
precision recall f1-score support
0 0.01 0.66 0.01 1026
1 1.00 0.75 0.86 499456
accuracy 0.75 500482
macro avg 0.50 0.71 0.43 500482
weighted avg 1.00 0.75 0.86 500482
Accuracy: 0.752214864870265
precision recall f1-score support
0 0.01 0.66 0.01 1026
1 1.00 0.75 0.86 499456
accuracy 0.75 500482
macro avg 0.50 0.71 0.43 500482
weighted avg 1.00 0.75 0.86 500482
Accuracy: 0.752214864870265
LR_8_0.01
precision recall f1-score support
0 0.06 0.60 0.11 98473
1 0.99 0.81 0.89 4925407
accuracy 0.80 5023880
macro avg 0.52 0.70 0.50 5023880
weighted avg 0.97 0.80 0.87 5023880
Accuracy: 0.8023917768736515
precision recall f1-score support
0 0.06 0.60 0.11 98473
1 0.99 0.81 0.89 4925407
accuracy 0.80 5023880
macro avg 0.52 0.70 0.50 5023880
weighted avg 0.97 0.80 0.87 5023880
Accuracy: 0.8023917768736515
LR_8_0.1
precision recall f1-score support
0 0.35 0.60 0.44 8019514
1 0.91 0.79 0.85 42910358
accuracy 0.76 50929872
macro avg 0.63 0.69 0.64 50929872
weighted avg 0.82 0.76 0.78 50929872
Accuracy: 0.7604401008508327
precision recall f1-score support
0 0.35 0.60 0.44 8019514
1 0.91 0.79 0.85 42910358
accuracy 0.76 50929872
macro avg 0.63 0.69 0.64 50929872
weighted avg 0.82 0.76 0.78 50929872
Accuracy: 0.7604401008508327
LR_8_0.2
precision recall f1-score support
0 0.50 0.61 0.55 25620627
1 0.85 0.79 0.82 73187446
accuracy 0.74 98808073
macro avg 0.68 0.70 0.69 98808073
weighted avg 0.76 0.74 0.75 98808073
Accuracy: 0.743415338137401
precision recall f1-score support
0 0.50 0.61 0.55 25620627
1 0.85 0.79 0.82 73187446
accuracy 0.74 98808073
macro avg 0.68 0.70 0.69 98808073
weighted avg 0.76 0.74 0.75 98808073
Accuracy: 0.743415338137401
LR_8_0.4
precision recall f1-score support
0 0.67 0.64 0.65 66028440
1 0.78 0.80 0.79 103663142
accuracy 0.74 169691582
macro avg 0.72 0.72 0.72 169691582
weighted avg 0.73 0.74 0.74 169691582
Accuracy: 0.7360847575809624
precision recall f1-score support
0 0.67 0.64 0.65 66028440
1 0.78 0.80 0.79 103663142
accuracy 0.74 169691582
macro avg 0.72 0.72 0.72 169691582
weighted avg 0.73 0.74 0.74 169691582
Accuracy: 0.7360847575809624
LR_8_All
precision recall f1-score support
0 0.44 0.58 0.50 99768080
1 0.78 0.68 0.73 225185809
accuracy 0.65 324953889
macro avg 0.61 0.63 0.62 324953889
weighted avg 0.68 0.65 0.66 324953889
Accuracy: 0.64812848877768
precision recall f1-score support
0 0.44 0.58 0.50 99768080
1 0.78 0.68 0.73 225185809
accuracy 0.65 324953889
macro avg 0.61 0.63 0.62 324953889
weighted avg 0.68 0.65 0.66 324953889
Accuracy: 0.64812848877768
LR_9_0.001
precision recall f1-score support
0 0.01 0.61 0.02 1026
1 1.00 0.85 0.92 499456
accuracy 0.85 500482
macro avg 0.50 0.73 0.47 500482
weighted avg 1.00 0.85 0.92 500482
Accuracy: 0.8512813647643671
precision recall f1-score support
0 0.01 0.61 0.02 1026
1 1.00 0.85 0.92 499456
accuracy 0.85 500482
macro avg 0.50 0.73 0.47 500482
weighted avg 1.00 0.85 0.92 500482
Accuracy: 0.8512813647643671
LR_9_0.01
precision recall f1-score support
0 0.07 0.58 0.13 98473
1 0.99 0.85 0.91 4925407
accuracy 0.84 5023880
macro avg 0.53 0.71 0.52 5023880
weighted avg 0.97 0.84 0.90 5023880
Accuracy: 0.841862265818451
precision recall f1-score support
0 0.07 0.58 0.13 98473
1 0.99 0.85 0.91 4925407
accuracy 0.84 5023880
macro avg 0.53 0.71 0.52 5023880
weighted avg 0.97 0.84 0.90 5023880
Accuracy: 0.841862265818451
LR_9_0.1
precision recall f1-score support
0 0.35 0.60 0.44 8019514
1 0.91 0.79 0.85 42910358
accuracy 0.76 50929872
macro avg 0.63 0.69 0.64 50929872
weighted avg 0.82 0.76 0.78 50929872
Accuracy: 0.7617056449700089
precision recall f1-score support
0 0.35 0.60 0.44 8019514
1 0.91 0.79 0.85 42910358
accuracy 0.76 50929872
macro avg 0.63 0.69 0.64 50929872
weighted avg 0.82 0.76 0.78 50929872
Accuracy: 0.7617056449700089
LR_9_0.2
precision recall f1-score support
0 0.50 0.61 0.55 25620627
1 0.85 0.79 0.82 73187446
accuracy 0.74 98808073
macro avg 0.68 0.70 0.69 98808073
weighted avg 0.76 0.74 0.75 98808073
Accuracy: 0.743784457774012
precision recall f1-score support
0 0.50 0.61 0.55 25620627
1 0.85 0.79 0.82 73187446
accuracy 0.74 98808073
macro avg 0.68 0.70 0.69 98808073
weighted avg 0.76 0.74 0.75 98808073
Accuracy: 0.743784457774012
LR_9_0.4
precision recall f1-score support
0 0.67 0.64 0.65 66028440
1 0.78 0.80 0.79 103663142
accuracy 0.74 169691582
macro avg 0.72 0.72 0.72 169691582
weighted avg 0.73 0.74 0.74 169691582
Accuracy: 0.7361713499730352
precision recall f1-score support
0 0.67 0.64 0.65 66028440
1 0.78 0.80 0.79 103663142
accuracy 0.74 169691582
macro avg 0.72 0.72 0.72 169691582
weighted avg 0.73 0.74 0.74 169691582
Accuracy: 0.7361713499730352
LR_9_All
precision recall f1-score support
0 0.44 0.58 0.50 99768080
1 0.78 0.68 0.73 225185809
accuracy 0.65 324953889
macro avg 0.61 0.63 0.62 324953889
weighted avg 0.68 0.65 0.66 324953889
Accuracy: 0.6483561333835891
precision recall f1-score support
0 0.44 0.58 0.50 99768080
1 0.78 0.68 0.73 225185809
accuracy 0.65 324953889
macro avg 0.61 0.63 0.62 324953889
weighted avg 0.68 0.65 0.66 324953889
Accuracy: 0.6483561333835891